Triple
T16522557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | omnium |
E401354
|
entity |
| Predicate | hasComponentRace |
P120070
|
FINISHED |
| Object | scratch 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: scratch race | Statement: [omnium, hasComponentRace, scratch race]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComponentRace Context triple: [omnium, hasComponentRace, scratch race]
-
A.
hasRace
Indicates that an entity possesses or is characterized by a particular race or racial classification.
-
B.
hasRaceClass
Indicates that an entity participates in or is associated with a particular race classification or category.
-
C.
hasAssociatedRace
Indicates that an entity is linked to or characterized by a particular race or racial classification.
-
D.
hasRaceFormat
chosen
Indicates that an entity is associated with, or characterized by, a particular race format or type of race structure.
-
E.
hasSupportRaces
Indicates that an entity provides backing, endorsement, or assistance to one or more races (such as competitions or racial groups).
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e8158cc8190aa77c6d37bd7ec76 |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.