Triple
T5644418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meadowlands Racetrack |
E124348
|
entity |
| Predicate | hasBettingType |
P47794
|
FINISHED |
| Object | pari-mutuel wagering |
—
|
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: pari-mutuel wagering | Statement: [Meadowlands Racetrack, hasBettingType, pari-mutuel wagering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBettingType Context triple: [Meadowlands Racetrack, hasBettingType, pari-mutuel wagering]
-
A.
hasToteBetting
chosen
Indicates that an entity offers or is associated with pari-mutuel (tote) betting services or facilities.
-
B.
hasGameType
Indicates that an entity (such as a game or match) is associated with a specific category or type of game.
-
C.
ballGameType
Indicates the specific kind or category of ball game associated with an event or activity.
-
D.
betting
Indicates engaging in a wager where one party risks something of value on the outcome of an uncertain event involving another entity.
-
E.
hasBenchType
Indicates that an entity is associated with or characterized by a specific type or category of bench.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022a8eccc8190837d4705670dc25e |
completed | March 22, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69c01b2168508190b64b355cf50034ad |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:41 p.m.