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.