Triple
T128841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Stock Exchange |
E2606
|
entity |
| Predicate | hasTradingFloor |
P5156
|
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: [New York Stock Exchange, hasTradingFloor, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTradingFloor Context triple: [New York Stock Exchange, hasTradingFloor, true]
-
A.
hasTradingModel
Indicates that one entity uses, is governed by, or is associated with a particular trading model.
-
B.
hasTradingHours
Indicates that an entity operates or is available for trading during specified time periods.
-
C.
hasClerk
Indicates that an entity is served, assisted, or managed by a clerk associated with it.
-
D.
hasMarket
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
-
E.
hasGlassFloor
Indicates that one entity possesses or features a floor made of glass.
- F. None of above. chosen
Provenance (4 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a2576518e0819096b35d8af7a4d1bd |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a2564da96c8190aa8204de25229c15 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256c72f6c81909b619b90d829d86e |
completed | Feb. 28, 2026, 2:45 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.