Triple
T4355578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talladega Superspeedway |
E98138
|
entity |
| Predicate | hasGarageArea |
P30711
|
FINISHED |
| Object | Cup Series garage |
—
|
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: Cup Series garage | Statement: [Talladega Superspeedway, hasGarageArea, Cup Series garage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGarageArea Context triple: [Talladega Superspeedway, hasGarageArea, Cup Series garage]
-
A.
hasGarage
chosen
Indicates that one entity possesses or includes a garage associated with it.
-
B.
hasParkArea
Indicates that an entity includes or is associated with a designated park or recreational area within its boundaries.
-
C.
hasCourtyardArea
Indicates that an entity includes or is associated with a courtyard and specifies the size or extent of that courtyard space.
-
D.
roofArea
Indicates the total surface area covered by the roof of a structure.
-
E.
hasTenderGarage
Indicates that an entity has a contractual or tender-based arrangement for the use, management, or provision of a garage.
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c5773481908446d84897e7a533 |
completed | March 12, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69b34f51ed7c8190b7bf5f44b56b730d |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:16 p.m.