Triple
T4509587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coronation Cup |
E102015
|
entity |
| Predicate | usualSurfaceCondition |
P1242
|
FINISHED |
| Object | turf, varying going |
—
|
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: turf, varying going | Statement: [Coronation Cup, usualSurfaceCondition, turf, varying going]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usualSurfaceCondition Context triple: [Coronation Cup, usualSurfaceCondition, turf, varying going]
-
A.
typicalFinish
Indicates that an action, process, or event commonly or characteristically ends with a particular outcome or state.
-
B.
conditionOfGoods
Indicates the state, quality, or integrity that the goods are in at a given time or upon a specified event.
-
C.
surfaceType
chosen
Indicates the kind or classification of surface associated with an entity or interaction.
-
D.
hasWeathering
Indicates that one entity undergoes or exhibits the process of weathering caused by another entity or environmental factors.
-
E.
typicalTexture
Indicates the usual or characteristic surface feel or consistency that is commonly associated with an entity.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd571138b88190b68bbfc4300aaf9d |
completed | March 20, 2026, 2:17 p.m. |
| PD | Predicate disambiguation | batch_69bd5218afb4819087c99e0a1f22e137 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:01 p.m.