Triple
T2862802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texaco |
E63363
|
entity |
| Predicate | hasStockExchangeListing |
P524
|
FINISHED |
| Object | former NYSE listing |
—
|
LITERAL FINISHED |
How this triple was built (2 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: former NYSE listing | Statement: [Texaco, hasStockExchangeListing, former NYSE listing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStockExchangeListing Context triple: [Texaco, hasStockExchangeListing, former NYSE listing]
-
A.
hasStockExchange
chosen
Indicates that an entity is associated with or listed on a particular stock exchange.
-
B.
usedByStockExchange
Indicates that something (such as a system, standard, or instrument) is utilized or adopted by a stock exchange in its operations or services.
-
C.
issuerStockExchangeCountry
Indicates the country in which the stock exchange listing the issuer’s securities is located.
-
D.
mainStockExchangeOf
Indicates that one entity serves as the primary stock exchange on which the other entity (typically a company or financial instrument) is chiefly listed or traded.
-
E.
isOneOfLargestStockExchangesIn
Indicates that an entity ranks among the largest stock exchanges within a specified country or region.
- F. None of above.
Provenance (3 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfb6e6988190b832ee05d8420633 |
completed | March 7, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69abdd123ec48190af50a1859aea50b7 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.