Triple
T32266325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spinster Stakes |
E824295
|
entity |
| Predicate | surfaceTypeHistory |
P32919
|
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: [Spinster Stakes, surfaceTypeHistory, Dirt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceTypeHistory Context triple: [Spinster Stakes, surfaceTypeHistory, Dirt]
-
A.
surfaceHistory
Indicates how the visible or exposed state of something has changed or evolved over time.
-
B.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
-
C.
surfaceRecord
Indicates that an entity documents or presents information about the external aspects or observable features of another entity or phenomenon.
-
D.
surfaceStatus
Indicates the condition or state of a surface, such as whether it is intact, damaged, altered, or otherwise characterized.
-
E.
hasTypeHistory
chosen
Indicates that an entity is associated with a record or sequence of its past and present types or classifications over time.
- 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc7f0ef081909966c28aafcb9bc3 |
completed | May 3, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:42 a.m.