Triple

T14875498
Position Surface form Disambiguated ID Type / Status
Subject International Institute of Information Technology, Hyderabad E349855 entity
Predicate hasResearchCenter P40 FINISHED
Object Language Technologies Research Center
Language Technologies Research Center is a research center at IIIT Hyderabad focused on advancing natural language processing, speech, and related language technologies.
E1125991 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Language Technologies Research Center | Statement: [International Institute of Information Technology, Hyderabad, hasResearchCenter, Language Technologies Research Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Language Technologies Research Center
Context triple: [International Institute of Information Technology, Hyderabad, hasResearchCenter, Language Technologies Research Center]
  • A. Language Technology Unit
    The Language Technology Unit is a specialized division focused on developing and promoting language technologies and computational tools for Indian languages under the Central Institute of Indian Languages.
  • B. Centre for Linguistic Science and Technology
    The Centre for Linguistic Science and Technology is a research hub at IIT Guwahati focused on language science, computational linguistics, and language technology development.
  • C. Language Technologies Institute, Carnegie Mellon University
    The Language Technologies Institute at Carnegie Mellon University is a leading research and education center focused on areas such as natural language processing, machine learning for language, speech recognition, and related AI-driven language technologies.
  • D. Center for the Study of Language and Information
    The Center for the Study of Language and Information is a Stanford University-based interdisciplinary research center and academic publisher focused on linguistics, logic, cognitive science, and computational approaches to language and information.
  • E. Department of Language and Computer Science
    The Department of Language and Computer Science is a unit within the Institute of Croatian Language and Linguistics that focuses on the intersection of linguistics and computational methods for language analysis and processing.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Language Technologies Research Center
Triple: [International Institute of Information Technology, Hyderabad, hasResearchCenter, Language Technologies Research Center]
Generated description
Language Technologies Research Center is a research center at IIIT Hyderabad focused on advancing natural language processing, speech, and related language technologies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Language Technologies Research Center
Target entity description: Language Technologies Research Center is a research center at IIIT Hyderabad focused on advancing natural language processing, speech, and related language technologies.
  • A. Language Technology Unit
    The Language Technology Unit is a specialized division focused on developing and promoting language technologies and computational tools for Indian languages under the Central Institute of Indian Languages.
  • B. Centre for Linguistic Science and Technology
    The Centre for Linguistic Science and Technology is a research hub at IIT Guwahati focused on language science, computational linguistics, and language technology development.
  • C. Language Technologies Institute, Carnegie Mellon University
    The Language Technologies Institute at Carnegie Mellon University is a leading research and education center focused on areas such as natural language processing, machine learning for language, speech recognition, and related AI-driven language technologies.
  • D. Center for the Study of Language and Information
    The Center for the Study of Language and Information is a Stanford University-based interdisciplinary research center and academic publisher focused on linguistics, logic, cognitive science, and computational approaches to language and information.
  • E. Department of Language and Computer Science
    The Department of Language and Computer Science is a unit within the Institute of Croatian Language and Linguistics that focuses on the intersection of linguistics and computational methods for language analysis and processing.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e3e5d48190a132f2cf012b01e2 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b52c12481908d0173a2a3ed854b completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6bf09424819095fa5b2e20e8d07d completed May 8, 2026, 11:04 p.m.
NED2 Entity disambiguation (via description) batch_69fe6c6ebe4881909334d772e45403f6 completed May 8, 2026, 11:06 p.m.
Created at: April 10, 2026, 1:55 a.m.