Triple

T8308553
Position Surface form Disambiguated ID Type / Status
Subject Juan Uriagereka E194526 entity
Predicate workInstitution P1203 FINISHED
Object University of Maryland Department of Linguistics
The University of Maryland Department of Linguistics is a leading academic department known for its research and graduate training in theoretical linguistics, psycholinguistics, and language acquisition.
E726989 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: University of Maryland Department of Linguistics | Statement: [Juan Uriagereka, workInstitution, University of Maryland Department of Linguistics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Maryland Department of Linguistics
Context triple: [Juan Uriagereka, workInstitution, University of Maryland Department of Linguistics]
  • A. University of Pennsylvania Department of Linguistics
    The University of Pennsylvania Department of Linguistics is a leading academic center for theoretical and empirical linguistics research and education, known for its influential contributions to syntax, phonology, sociolinguistics, and computational linguistics.
  • B. Stanford University Department of Linguistics
    The Stanford University Department of Linguistics is a leading academic department renowned for its research and teaching across theoretical, computational, and sociolinguistics.
  • C. Department of Linguistics
    The Department of Linguistics at the University of Zadar is an academic unit dedicated to the scientific study of language, offering teaching and research in areas such as theoretical, applied, and descriptive linguistics.
  • D. Department of Linguistics
    The Department of Linguistics is an academic unit at the University of Chile dedicated to the scientific study of language, including its structure, use, and development.
  • E. Department of Linguistics
    The Department of Linguistics at Deccan College is an academic unit dedicated to the scientific study of language, including its structure, history, and use.
  • 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: University of Maryland Department of Linguistics
Triple: [Juan Uriagereka, workInstitution, University of Maryland Department of Linguistics]
Generated description
The University of Maryland Department of Linguistics is a leading academic department known for its research and graduate training in theoretical linguistics, psycholinguistics, and language acquisition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: University of Maryland Department of Linguistics
Target entity description: The University of Maryland Department of Linguistics is a leading academic department known for its research and graduate training in theoretical linguistics, psycholinguistics, and language acquisition.
  • A. University of Pennsylvania Department of Linguistics
    The University of Pennsylvania Department of Linguistics is a leading academic center for theoretical and empirical linguistics research and education, known for its influential contributions to syntax, phonology, sociolinguistics, and computational linguistics.
  • B. Stanford University Department of Linguistics
    The Stanford University Department of Linguistics is a leading academic department renowned for its research and teaching across theoretical, computational, and sociolinguistics.
  • C. Department of Linguistics
    The Department of Linguistics at the University of Zadar is an academic unit dedicated to the scientific study of language, offering teaching and research in areas such as theoretical, applied, and descriptive linguistics.
  • D. Department of Linguistics
    The Department of Linguistics at Deccan College is an academic unit dedicated to the scientific study of language, including its structure, history, and use.
  • E. Department of Linguistics
    The Department of Linguistics is an academic unit at the University of Chile dedicated to the scientific study of language, including its structure, use, and development.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2c06608190bd21633af07a530b completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd955bd69081909d669139c576efb8 completed April 1, 2026, 9:59 p.m.
NEDg Description generation batch_69cdb20cc18081908269516e49ce0fd3 completed April 2, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69cdb44ff9a88190bbcb4a56f9b44dc1 completed April 2, 2026, 12:12 a.m.
Created at: March 30, 2026, 5:54 p.m.