Triple
T18318669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Essential Quality |
E438811
|
entity |
| Predicate | belmontStakesDistance |
P20127
|
FINISHED |
| Object | 1½ miles |
—
|
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: 1½ miles | Statement: [Essential Quality, belmontStakesDistance, 1½ miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belmontStakesDistance Context triple: [Essential Quality, belmontStakesDistance, 1½ miles]
-
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.
majorRaceDistance
chosen
Indicates the standard or primary distance over which a major race or competition is contested.
-
D.
raceDistanceType
Indicates the specific type or category of distance over which a race is conducted.
-
E.
raceDistanceApprox
Indicates that the distance of a race is approximately equal to a specified value, allowing for some margin of error rather than requiring an exact match.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa342a881909afcd995405027af |
completed | April 19, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.