Triple
T6172879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Prix of Long Beach |
E137744
|
entity |
| Predicate | supportRacesInclude |
P30570
|
FINISHED |
| Object | sports car races |
—
|
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: sports car races | Statement: [Grand Prix of Long Beach, supportRacesInclude, sports car races]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportRacesInclude Context triple: [Grand Prix of Long Beach, supportRacesInclude, sports car races]
-
A.
hasSupportRaces
chosen
Indicates that an entity provides backing, endorsement, or assistance to one or more races (such as competitions or racial groups).
-
B.
supporterOf
Indicates that one entity backs, advocates for, or provides assistance to another entity, cause, or organization.
-
C.
supportsCompetition
Indicates that one entity actively promotes, enables, or upholds the existence or functioning of competition involving another entity.
-
D.
allianceSupport
Indicates a cooperative relationship where one party provides assistance, resources, or backing to an ally within the context of an alliance.
-
E.
supportedAct
Indicates that one entity provided assistance, endorsement, or backing for a particular action or activity performed by another 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d9319548190980c99f692bd4115 |
completed | March 22, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:18 p.m.