Triple
T15841051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Stock Exchange |
E384100
|
entity |
| Predicate | hasTradingFloorRole |
P49258
|
FINISHED |
| Object | designated market maker |
—
|
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: designated market maker | Statement: [New York Stock Exchange, hasTradingFloorRole, designated market maker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTradingFloorRole Context triple: [New York Stock Exchange, hasTradingFloorRole, designated market maker]
-
A.
hasTradingFloor
Indicates that an entity operates or contains a physical or virtual trading floor where financial instruments are actively bought and sold.
-
B.
hasFloorRole
Indicates that an entity holds a specific role, function, or responsibility associated with a particular floor or level within a building or facility.
-
C.
hasMarketRole
chosen
Indicates that an entity holds or performs a specific functional role within a market or marketplace context.
-
D.
hasTradingDesk
Indicates that an entity maintains or operates a trading desk function for executing financial trades or market transactions.
-
E.
hasLegalRole
Indicates that an entity holds a specific legal capacity, status, or function in relation to another entity or 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e764088190afba6c5c1acf8199 |
completed | April 16, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.