Triple
T9164553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dawsonville |
E219916
|
entity |
| Predicate | hasSportsHeritage |
P25090
|
FINISHED |
| Object | NASCAR drivers |
—
|
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 drivers | Statement: [Dawsonville, hasSportsHeritage, NASCAR drivers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportsHeritage Context triple: [Dawsonville, hasSportsHeritage, NASCAR drivers]
-
A.
hasProfessionalSportsHeritage
Indicates that an entity has a historical or familial connection to professional-level sports participation or achievement.
-
B.
sportsHeritage
Indicates a relationship where one entity preserves, represents, or is associated with the historical traditions, legacy, or cultural heritage of a sport or sporting community.
-
C.
hasOlympicLegacy
Indicates that something has a lasting impact, influence, or heritage resulting from its association with the Olympic Games.
-
D.
hasHeritage
Indicates that an entity possesses or is associated with a particular cultural, ethnic, or ancestral background.
-
E.
sportHistory
chosen
Indicates a relationship where an entity has a record or background of participation, involvement, or performance in a particular sport or sports over time.
- 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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2ee64c8190a9a5abafe5d0b086 |
completed | April 1, 2026, 5:16 a.m. |
| PD | Predicate disambiguation | batch_69cc6605c6808190a30d92da006206ac |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:21 p.m.