Triple
T1020729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American |
E22033
|
entity |
| Predicate | canHaveRace |
P18104
|
FINISHED |
| Object | any race |
—
|
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: any race | Statement: [American, canHaveRace, any race]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canHaveRace Context triple: [American, canHaveRace, any race]
-
A.
hasRacecourse
Indicates that an entity possesses, contains, or is associated with a racecourse facility or track.
-
B.
raceCategory
chosen
Indicates the classification of an entity into a specific race or racial group within a defined categorization system.
-
C.
canElect
Indicates that one entity has the authority or ability to choose another entity for a position, role, or office through an election process.
-
D.
canPass
Indicates that one entity is able or permitted to move through, cross, or successfully traverse another entity or barrier.
-
E.
raceDayIncludes
Indicates that a particular race day schedule or event set contains or encompasses a specific race or racing-related activity.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7dd76b081909ed4d2f7adb6480d |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b724c7908190a5b92a57fbdbff4e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.