Triple
T23412675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1979 Firecracker 400 |
E560118
|
entity |
| Predicate | carsInField |
P22510
|
FINISHED |
| Object | 41 |
—
|
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: 41 | Statement: [1979 Firecracker 400, carsInField, 41]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carsInField Context triple: [1979 Firecracker 400, carsInField, 41]
-
A.
fieldedCarBrand
Indicates that a particular car brand has been entered, deployed, or represented (e.g., in a race, event, or lineup) by some agent or organization.
-
B.
numberOfVehicles
chosen
Indicates the total count of vehicles associated with a given entity or context.
-
C.
carFree
Indicates that an area, route, or zone is designated for use without cars or motor vehicles.
-
D.
droveCarNumber
Indicates that a person operated or was driving a specific car identified by its number.
-
E.
numberOfPassengerCars
Indicates the total count of passenger cars associated with or contained in a given entity or context.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a5124a54819087a7ae2f8a5b3dc0 |
completed | April 29, 2026, 6:28 a.m. |
| PD | Predicate disambiguation | batch_69f061ed34288190a2e5e8cae03b0095 |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:38 p.m.