Triple
T35330900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 at Phoenix International Raceway |
E1020312
|
entity |
| Predicate | seriesNameAtTheTime |
P151202
|
FINISHED |
| Object | NASCAR Camping World Truck Series |
—
|
NE NERFINISHED |
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: NASCAR Camping World Truck Series | Statement: [2016 at Phoenix International Raceway, seriesNameAtTheTime, NASCAR Camping World Truck Series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesNameAtTheTime Context triple: [2016 at Phoenix International Raceway, seriesNameAtTheTime, NASCAR Camping World Truck Series]
-
A.
seriesNameAtTime
chosen
Indicates that an entity had a particular series name during a specified time or time interval.
-
B.
seriesInception
Indicates the event or point in time at which a series is first created, launched, or begins.
-
C.
currentSeriesIntroduced
Indicates that an entity was first introduced or appeared in the currently ongoing series or installment of a work.
-
D.
seriesBy
Indicates that one entity is the creator, author, or originator of a series to which the other entity belongs.
-
E.
seriesLeadAsOfEarly2020s
Indicates that the entity was the primary lead of the series during the early 2020s.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: May 3, 2026, 4:03 p.m.