Triple
T36988318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cupid |
E915024
|
entity |
| Predicate | raceGradeOfWestVirginiaDerbyWin |
P187459
|
FINISHED |
| Object | Grade II |
—
|
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: Grade II | Statement: [Cupid, raceGradeOfWestVirginiaDerbyWin, Grade II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceGradeOfWestVirginiaDerbyWin Context triple: [Cupid, raceGradeOfWestVirginiaDerbyWin, Grade II]
-
A.
raceGradeOfIndianaDerbyWin
Indicates that the entity has a race grade corresponding to winning the Indiana Derby.
-
B.
kentuckyDerbyPointsRace
Indicates that an event is a race in which participants can earn qualifying points toward the Kentucky Derby.
-
C.
raceGradeOfRebelStakesWin
Indicates that an entity achieved a winning race grade in the Rebel Stakes event.
-
D.
regionDerby
Indicates a competitive match or rivalry that takes place between teams or participants from the same geographic region.
-
E.
KentuckyDerbyFinish
Indicates the finishing position or outcome of an entity in the Kentucky Derby race.
- 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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb55dc36d08190a0634fa680e13114 |
completed | May 6, 2026, 2:53 p.m. |
Created at: May 3, 2026, 4:14 p.m.