Triple
T12535627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newmarket |
E299681
|
entity |
| Predicate | trainingGallopsArea |
P38230
|
FINISHED |
| Object | over 2,500 acres |
—
|
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: over 2,500 acres | Statement: [Newmarket, trainingGallopsArea, over 2,500 acres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingGallopsArea Context triple: [Newmarket, trainingGallopsArea, over 2,500 acres]
-
A.
trainingGround
Indicates a location or context where entities engage in practice, drills, or preparation activities to develop or improve skills.
-
B.
trainingGroundFor
Indicates that one entity serves as a place or context where another entity is trained, prepared, or developed.
-
C.
trainingBaseRegion
chosen
Indicates the geographic region where an entity’s training activities or training base is located or conducted.
-
D.
trainingStations
Indicates a relationship where certain locations or facilities serve as designated sites for training activities or instruction.
-
E.
springTrainingLocation
Indicates the location where an entity conducts its spring training activities.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.