Triple
T36988381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiz the Law |
E915026
|
entity |
| Predicate | BelmontStakesEditionWon |
P131330
|
FINISHED |
| Object | 152nd Belmont Stakes |
—
|
NE NERFINISHED |
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: 152nd Belmont Stakes | Statement: [Tiz the Law, BelmontStakesEditionWon, 152nd Belmont Stakes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BelmontStakesEditionWon Context triple: [Tiz the Law, BelmontStakesEditionWon, 152nd Belmont Stakes]
-
A.
BelmontStakesMarginOfVictory
Indicates the size of the winning margin by which the victor prevails in the Belmont Stakes race.
-
B.
BelmontStakesTime
Indicates the time at which the Belmont Stakes event takes place.
-
C.
belmontStakesYear
chosen
Indicates the specific year in which a given running of the Belmont Stakes horse race took place.
-
D.
KentuckyDerbyFinish
Indicates the finishing position or outcome of an entity in the Kentucky Derby race.
-
E.
BreedersCupMileWin
Indicates that an entity has won the Breeders' Cup Mile horse 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_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.