Triple
T17860768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godolphin Mile |
E446064
|
entity |
| Predicate | raceSurfaceHistory |
P129040
|
FINISHED |
| Object | dirt |
—
|
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: dirt | Statement: [Godolphin Mile, raceSurfaceHistory, dirt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceSurfaceHistory Context triple: [Godolphin Mile, raceSurfaceHistory, dirt]
-
A.
raceStatusHistory
Indicates the recorded sequence of status changes or states that a race has undergone over time.
-
B.
racecourseFeature
Indicates that one entity is a physical or functional feature or component of a racecourse associated with the other entity.
-
C.
raceRecord
Indicates that there exists a recorded result or performance entry for an entity participating in a race or competitive event.
-
D.
raceTrack
Indicates that one entity serves as a race track or racing course used by another entity for racing activities.
-
E.
notableRaceTrackDepicted
Indicates that a work or representation depicts a race track that is considered notable or significant.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4979013dc8190beb7718f0ba92bc3 |
completed | April 19, 2026, 8:51 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:17 a.m.