Triple
T35564080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2022 NASCAR Cup Series Championship Race at Phoenix Raceway |
E1027719
|
entity |
| Predicate | stage2Length |
P184434
|
FINISHED |
| Object | 125 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: 125 laps | Statement: [2022 NASCAR Cup Series Championship Race at Phoenix Raceway, stage2Length, 125 laps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stage2Length Context triple: [2022 NASCAR Cup Series Championship Race at Phoenix Raceway, stage2Length, 125 laps]
-
A.
stage2Completed
Indicates that the second stage of a defined multi-stage process or workflow has been successfully completed.
-
B.
coreStageLength
Indicates the length or duration of the main or primary stage within a multi-stage process or structure.
-
C.
numberOfStages
Indicates the total count of distinct stages or phases associated with a given process, event, or entity.
-
D.
numberPerSecondStage
Indicates the quantity or count associated with each second stage in a multi-stage process or system.
-
E.
secondStage
Indicates that something functions as the subsequent or follow-up stage in a multi-stage process or sequence.
- F. None of above. chosen
Provenance (4 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_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7b0e3917481908a394680d76743c3 |
completed | May 3, 2026, 8:32 p.m. |
Created at: May 3, 2026, 4:04 p.m.