Triple
T18320295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1994 NYRA Mile |
E438856
|
entity |
| Predicate | raceQualification |
P131363
|
FINISHED |
| Object | three-year-olds and upward |
—
|
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: three-year-olds and upward | Statement: [1994 NYRA Mile, raceQualification, three-year-olds and upward]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceQualification Context triple: [1994 NYRA Mile, raceQualification, three-year-olds and upward]
-
A.
raceRole
Indicates the specific role, position, or function an entity holds within a race or racing event.
-
B.
relatedRace
Indicates that there is a connection or association between two races, such as similarity, relevance, or contextual linkage.
-
C.
raceGroup
Indicates that the subject belongs to, or is categorized within, a particular racial or ethnic group.
-
D.
racialIdentity
Indicates the relationship between an entity and the racial group or classification with which it is identified or categorized.
-
E.
raceCountry
Indicates that an instance of racing activity or event takes place in, or is associated with, a particular country.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa5a3508190a3025e71c11d79e2 |
completed | April 19, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:36 a.m.