Triple
T35330946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NASCAR Drive for Diversity |
E1020313
|
entity |
| Predicate | typeOfDiversity |
P14432
|
FINISHED |
| Object | gender diversity |
—
|
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: gender diversity | Statement: [NASCAR Drive for Diversity, typeOfDiversity, gender diversity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDiversity Context triple: [NASCAR Drive for Diversity, typeOfDiversity, gender diversity]
-
A.
diversity
chosen
Indicates the degree to which a set of entities differs along one or more dimensions such as type, attributes, or characteristics.
-
B.
centerOfDiversity
Indicates the location where a particular group, trait, or phenomenon exhibits its greatest variety or concentration of diversity.
-
C.
peakDiversity
Indicates the point or condition at which diversity reaches its maximum level within a given context or system.
-
D.
attitudeTowardDiversity
Indicates a stance, feeling, or evaluation that an entity holds regarding diversity or diverse groups.
-
E.
hadPopulationDiversity
Indicates that an entity possessed a population characterized by a variety of distinct demographic or group attributes (such as ethnicity, culture, or other differentiating factors).
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a01a48fbbd481908ccf75551dcf4647 |
completed | May 11, 2026, 9:42 a.m. |
| PD | Predicate disambiguation | batch_6a01a2d6db208190b11c1af601a544f5 |
completed | May 11, 2026, 9:35 a.m. |
Created at: May 3, 2026, 4:03 p.m.