Triple

T11320856
Position Surface form Disambiguated ID Type / Status
Subject BSE E268089 entity
Predicate keyIndex P2918 FINISHED
Object BSE 500
BSE 500 is a broad-based Indian stock market index comprising 500 companies listed on the Bombay Stock Exchange, designed to represent the overall performance of the equity market.
E919024 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: BSE 500 | Statement: [BSE, keyIndex, BSE 500]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BSE 500
Context triple: [BSE, keyIndex, BSE 500]
  • A. BSE Global
    BSE Global is the sports and entertainment company that owns and operates the Brooklyn Nets and related properties.
  • B. BES
    BES is the international vehicle registration code used for the Caribbean Netherlands islands of Bonaire, Sint Eustatius, and Saba.
  • C. BESE
    BESE is the acronym for the Massachusetts Board of Elementary and Secondary Education, the state body responsible for overseeing public K–12 education policy and standards in Massachusetts.
  • D. BSC
    BSC is the commonly used abbreviation for Barcelona Sporting Club, a prominent Ecuadorian football club based in Guayaquil.
  • E. BSC
    BSC is the common abbreviation for Hertha BSC, a professional football club based in Berlin, Germany.
  • 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: BSE 500
Triple: [BSE, keyIndex, BSE 500]
Generated description
BSE 500 is a broad-based Indian stock market index comprising 500 companies listed on the Bombay Stock Exchange, designed to represent the overall performance of the equity market.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BSE 500
Target entity description: BSE 500 is a broad-based Indian stock market index comprising 500 companies listed on the Bombay Stock Exchange, designed to represent the overall performance of the equity market.
  • A. BSE Global
    BSE Global is the sports and entertainment company that owns and operates the Brooklyn Nets and related properties.
  • B. BES
    BES is the international vehicle registration code used for the Caribbean Netherlands islands of Bonaire, Sint Eustatius, and Saba.
  • C. BESE
    BESE is the acronym for the Massachusetts Board of Elementary and Secondary Education, the state body responsible for overseeing public K–12 education policy and standards in Massachusetts.
  • D. BSC
    BSC is the commonly used abbreviation for Barcelona Sporting Club, a prominent Ecuadorian football club based in Guayaquil.
  • E. BSC
    BSC is the common abbreviation for Hertha BSC, a professional football club based in Berlin, Germany.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9dff37081909622623e66e17ccd completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525e2549081909ec99e4c7006fd66 completed April 19, 2026, 6:58 p.m.
NEDg Description generation batch_69e52c82b6108190aec9b6e9d726f803 completed April 19, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69e531b079708190ac9e19127d36a848 completed April 19, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:32 p.m.