Triple

T5236726
Position Surface form Disambiguated ID Type / Status
Subject Harcourt Butler Technical University E118237 entity
Predicate shortName P43 FINISHED
Object HBTI
HBTI is a renowned engineering and technology university located in Kanpur, India, known for its strong academic programs and research in technical fields.
 E504501 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: HBTI | Statement: [Harcourt Butler Technical University, shortName, HBTI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HBTI
Context triple: [Harcourt Butler Technical University, shortName, HBTI]
  • A. HTI
    HTI is the three-letter ISO 3166-1 alpha-3 country code assigned to Haiti for international standardization and identification.
  • B. IBT
    IBT is the acronym for the International Brotherhood of Teamsters, one of the largest and most influential labor unions in the United States and Canada.
  • C. BIHA
    BIHA is the national governing body responsible for overseeing and organizing ice hockey activities in Belarus.
  • D. HBE
    HBE is the IATA airport code for Borg El Arab Airport, the main international airport serving Alexandria, Egypt.
  • E. BHB
    BHB is the stock exchange of the Kingdom of Bahrain, providing a regulated marketplace for trading securities and other financial instruments.
  • 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: HBTI
Triple: [Harcourt Butler Technical University, shortName, HBTI]
Generated description
HBTI is a renowned engineering and technology university located in Kanpur, India, known for its strong academic programs and research in technical fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HBTI
Target entity description: HBTI is a renowned engineering and technology university located in Kanpur, India, known for its strong academic programs and research in technical fields.
  • A. HTI
    HTI is the three-letter ISO 3166-1 alpha-3 country code assigned to Haiti for international standardization and identification.
  • B. IBT
    IBT is the acronym for the International Brotherhood of Teamsters, one of the largest and most influential labor unions in the United States and Canada.
  • C. BIHA
    BIHA is the national governing body responsible for overseeing and organizing ice hockey activities in Belarus.
  • D. HBE
    HBE is the IATA airport code for Borg El Arab Airport, the main international airport serving Alexandria, Egypt.
  • E. BHB
    BHB is the stock exchange of the Kingdom of Bahrain, providing a regulated marketplace for trading securities and other financial instruments.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b2595c88190b4ca0b99c2f31472 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef820285881909f0e569e020a58ae completed March 21, 2026, 7:57 p.m.
NEDg Description generation batch_69bef8acecf48190a1d3f56640bf7784 completed March 21, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69bef92017948190906d1be3551b54c2 completed March 21, 2026, 8:01 p.m.
Created at: March 20, 2026, 1:49 p.m.