Triple
T5929462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fair Grounds Race Course |
E131898
|
entity |
| Predicate | hasTypeOfRacing |
P47791
|
FINISHED |
| Object | Thoroughbred racing |
—
|
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: Thoroughbred racing | Statement: [Fair Grounds Race Course, hasTypeOfRacing, Thoroughbred racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfRacing Context triple: [Fair Grounds Race Course, hasTypeOfRacing, Thoroughbred racing]
-
A.
hasRaceClass
Indicates that an entity participates in or is associated with a particular race classification or category.
-
B.
isFromRacingFamily
Indicates that an entity belongs to or originates from a family with a background or tradition in racing.
-
C.
styleOfRacing
Indicates the specific manner or approach in which an entity participates in or performs racing.
-
D.
raceTypeHosted
chosen
Indicates that a particular type of race is organized or held by a given host or organizing entity.
-
E.
hasRace
Indicates that an entity possesses or is characterized by a particular race or racial classification.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4 p.m.