Triple
T36988424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maximum Security |
E915027
|
entity |
| Predicate | KentuckyDerby2019OfficialResult |
P151102
|
FINISHED |
| Object | disqualified to 17th |
—
|
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: disqualified to 17th | Statement: [Maximum Security, KentuckyDerby2019OfficialResult, disqualified to 17th]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: KentuckyDerby2019OfficialResult Context triple: [Maximum Security, KentuckyDerby2019OfficialResult, disqualified to 17th]
-
A.
KentuckyDerbyFinish
chosen
Indicates the finishing position or outcome of an entity in the Kentucky Derby race.
-
B.
KentuckyDerbyTime
Indicates that a specified time value corresponds to when the Kentucky Derby race takes place or took place.
-
C.
BelmontStakesTime
Indicates the time at which the Belmont Stakes event takes place.
-
D.
kentuckyDerbyPointsRace
Indicates that an event is a race in which participants can earn qualifying points toward the Kentucky Derby.
-
E.
BelmontStakesMarginOfVictory
Indicates the size of the winning margin by which the victor prevails in the Belmont Stakes race.
- 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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.