Triple
T16145757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The World Center of Racing |
E391775
|
entity |
| Predicate | eventTypeAssociated |
P38977
|
FINISHED |
| Object | NASCAR Cup Series 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: NASCAR Cup Series race | Statement: [The World Center of Racing, eventTypeAssociated, NASCAR Cup Series race]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eventTypeAssociated Context triple: [The World Center of Racing, eventTypeAssociated, NASCAR Cup Series race]
-
A.
associatedEventType
chosen
Indicates that one entity is linked to another by the type or category of event with which it is associated.
-
B.
isLinkedToEvent
Indicates that an entity has an association or connection with a specific event.
-
C.
attributesEventTo
Indicates assigning responsibility, origin, or cause of an event to a particular entity.
-
D.
associatedWithCorporateEvent
Indicates that an entity has a connection or involvement with a specific corporate event.
-
E.
associatedActivity
Indicates that one entity is linked to, involved in, or characterized by a particular activity or set of activities.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d9376fc8190bd9ef586b00c1d3b |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.