Triple
T4349480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Oaks |
E97985
|
entity |
| Predicate | hasRacecourseFeature |
P55674
|
FINISHED |
| Object | undulating track |
—
|
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: undulating track | Statement: [The Oaks, hasRacecourseFeature, undulating track]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRacecourseFeature Context triple: [The Oaks, hasRacecourseFeature, undulating track]
-
A.
hasRacecourse
Indicates that an entity possesses, contains, or is associated with a racecourse facility or track.
-
B.
hasRaceSurface
Indicates that an event or activity takes place on, or is associated with, a specific type of race surface.
-
C.
hasGrandstandFeature
Indicates that something possesses or includes a grandstand-related feature or characteristic.
-
D.
hasParkFeature
Indicates that a park includes, contains, or is associated with a specific feature or amenity.
-
E.
hasRaceClass
Indicates that an entity participates in or is associated with a particular race classification or category.
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351a6e89c8190b9bf2cccb63839b3 |
completed | March 12, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69b34f51ed7c8190b7bf5f44b56b730d |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff654308190b9717526120d80d3 |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:15 p.m.