Triple
T13291416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tata Motors |
E316567
|
entity |
| Predicate | tradedAs |
P2822
|
FINISHED |
| Object |
BSE:500570
BSE:500570 is the Bombay Stock Exchange ticker symbol for Tata Motors, a major Indian automotive manufacturing company.
|
E1033378
|
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:500570 | Statement: [Tata Motors, tradedAs, BSE:500570]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BSE:500570 Context triple: [Tata Motors, tradedAs, BSE:500570]
-
A.
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.
-
B.
BSE Global
BSE Global is the sports and entertainment company that owns and operates the Brooklyn Nets and related properties.
-
C.
^BSESN
^BSESN is the ticker symbol for the S&P BSE SENSEX, the benchmark stock market index of the Bombay Stock Exchange in India.
-
D.
BSE 200
BSE 200 is a broad-based Indian stock market index comprising 200 actively traded companies listed on the Bombay Stock Exchange.
-
E.
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.
- 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:500570 Triple: [Tata Motors, tradedAs, BSE:500570]
Generated description
BSE:500570 is the Bombay Stock Exchange ticker symbol for Tata Motors, a major Indian automotive manufacturing company.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BSE:500570 Target entity description: BSE:500570 is the Bombay Stock Exchange ticker symbol for Tata Motors, a major Indian automotive manufacturing company.
-
A.
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.
-
B.
BSE Global
BSE Global is the sports and entertainment company that owns and operates the Brooklyn Nets and related properties.
-
C.
^BSESN
^BSESN is the ticker symbol for the S&P BSE SENSEX, the benchmark stock market index of the Bombay Stock Exchange in India.
-
D.
BSE 200
BSE 200 is a broad-based Indian stock market index comprising 200 actively traded companies listed on the Bombay Stock Exchange.
-
E.
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.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99077a8f48190b1163448a3a978a2 |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716d6dc988190ab7183089113237f |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f717f4d80c8190a1a95c0f2c83c563 |
completed | May 3, 2026, 9:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f718b852808190a2a0fb48424bffb0 |
completed | May 3, 2026, 9:43 a.m. |
Created at: April 9, 2026, 9:27 p.m.