Triple
T35564079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2022 NASCAR Cup Series Championship Race at Phoenix Raceway |
E1027719
|
entity |
| Predicate | stage1Length |
P14382
|
FINISHED |
| Object | 60 laps |
—
|
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: 60 laps | Statement: [2022 NASCAR Cup Series Championship Race at Phoenix Raceway, stage1Length, 60 laps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stage1Length Context triple: [2022 NASCAR Cup Series Championship Race at Phoenix Raceway, stage1Length, 60 laps]
-
A.
coreStageLength
chosen
Indicates the length or duration of the main or primary stage within a multi-stage process or structure.
-
B.
transitionalStageLength
Indicates the duration or extent of time that an entity remains in an intermediate or transitional stage between two more stable states.
-
C.
stageOf
Indicates that one entity represents a particular phase, step, or developmental period within the progression or lifecycle of another entity.
-
D.
numberOfStages
Indicates the total count of distinct stages or phases associated with a given process, event, or entity.
-
E.
numberPerStage
Indicates the quantity or count associated with each distinct stage in a multi-stage process or sequence.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:04 p.m.