Triple
T723711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XNYS |
E14673
|
entity |
| Predicate | isMajorExchange |
P14364
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [XNYS, isMajorExchange, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorExchange Context triple: [XNYS, isMajorExchange, true]
-
A.
isMajorTradingCurrencyIn
Indicates that a currency is one of the primary or most significant currencies used for trade within a specified market or region.
-
B.
isOneOfLargestStockExchangesIn
Indicates that an entity ranks among the largest stock exchanges within a specified country or region.
-
C.
isOneOfMostImportantStockExchangesIn
chosen
Indicates that a stock exchange is among the most significant or influential exchanges within a specified country or region.
-
D.
hasMajorMarket
Indicates that an entity has a primary or most significant market in a specified location or segment.
-
E.
isMajor
Indicates that an entity holds primary or greater significance, importance, or rank relative to others in a given context.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5a5360c8190b16e1e4f4206d0aa |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f700cc81908c6de3eedf68433c |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.