Triple
T18650043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man o’ War |
E455907
|
entity |
| Predicate | setTrackRecord |
P56015
|
FINISHED |
| Object | Belmont Park 1 5/8 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: Belmont Park 1 5/8 miles | Statement: [Man o’ War, setTrackRecord, Belmont Park 1 5/8 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setTrackRecord Context triple: [Man o’ War, setTrackRecord, Belmont Park 1 5/8 miles]
-
A.
setTrackRecordIn
chosen
Indicates establishing or defining a performance history or record within a particular context or domain.
-
B.
trackRecordTrack
Indicates that one entity serves as a record or log that tracks the performance, history, or outcomes associated with another entity.
-
C.
setRecordFor
Indicates establishing or updating a specific record associated with an entity or context.
-
D.
trackRecordUsedFor
Indicates that a track record is utilized as a basis or input for some subsequent decision, evaluation, or process.
-
E.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55010d27c8190aad8d3c9e8cd31b2 |
completed | April 19, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:47 a.m.