Triple
T22860562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stafford Motor Speedway |
E566906
|
entity |
| Predicate | hasTimingAndScoring |
P68584
|
FINISHED |
| Object | electronic timing system |
—
|
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: electronic timing system | Statement: [Stafford Motor Speedway, hasTimingAndScoring, electronic timing system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimingAndScoring Context triple: [Stafford Motor Speedway, hasTimingAndScoring, electronic timing system]
-
A.
hasTimingCapability
chosen
Indicates that an entity possesses the ability to measure, control, or manage timing-related aspects of an operation or process.
-
B.
requiresTiming
Indicates that one entity’s occurrence, execution, or validity depends on being coordinated with a specific time or temporal condition related to another entity.
-
C.
decidingScoreTime
Indicates the point in time at which a decisive or game-determining score occurs.
-
D.
hasScoreSystem
Indicates that an entity uses, is governed by, or is associated with a particular scoring or rating system.
-
E.
hasScorer
Indicates that one entity serves as the scorer (e.g., the one who scores points, goals, or evaluations) in relation to another entity.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17ec082c08190943e6cfc2e25c5cc |
completed | April 29, 2026, 3:45 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:37 p.m.