Triple

T3358055
Position Surface form Disambiguated ID Type / Status
Subject University of Hyderabad E70651 entity
Predicate shortName P43 FINISHED
Object HCU
HCU is a leading Indian public research university located in Hyderabad, known for its strong postgraduate programs and emphasis on interdisciplinary studies.
 E351015 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: HCU | Statement: [University of Hyderabad, shortName, HCU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HCU
Context triple: [University of Hyderabad, shortName, HCU]
  • A. CBU
    CBU is a private Christian university in Riverside, California, known for its faith-based education and diverse undergraduate and graduate programs.
  • B. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • C. YCU
    YCU is the commonly used abbreviation for Yokohama City University, a public research university located in Yokohama, Japan.
  • D. HMC
    HMC is a professional association of leading independent school heads in the United Kingdom and internationally.
  • E. HMC
    HMC is the stock ticker symbol for Honda Motor Co., Ltd., a major Japanese multinational manufacturer of automobiles, motorcycles, and power equipment.
  • 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: HCU
Triple: [University of Hyderabad, shortName, HCU]
Generated description
HCU is a leading Indian public research university located in Hyderabad, known for its strong postgraduate programs and emphasis on interdisciplinary studies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HCU
Target entity description: HCU is a leading Indian public research university located in Hyderabad, known for its strong postgraduate programs and emphasis on interdisciplinary studies.
  • A. CBU
    CBU is a private Christian university in Riverside, California, known for its faith-based education and diverse undergraduate and graduate programs.
  • B. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • C. YCU
    YCU is the commonly used abbreviation for Yokohama City University, a public research university located in Yokohama, Japan.
  • D. HMC
    HMC is a professional association of leading independent school heads in the United Kingdom and internationally.
  • E. HMC
    HMC is the stock ticker symbol for Honda Motor Co., Ltd., a major Japanese multinational manufacturer of automobiles, motorcycles, and power equipment.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb244435c81908e35d2aa36ec4f46 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3253e91988190bbfdafdf88ab0df1 completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b326cc82788190b68f1db043f21055 completed March 12, 2026, 8:49 p.m.
NED2 Entity disambiguation (via description) batch_69b3276b55a0819094face2e56001921 completed March 12, 2026, 8:51 p.m.
Created at: March 8, 2026, 3:13 p.m.