Triple
T5755239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NASCAR Mexico Series |
E126948
|
entity |
| Predicate | hasPitStops |
P44365
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [NASCAR Mexico Series, hasPitStops, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPitStops Context triple: [NASCAR Mexico Series, hasPitStops, yes]
-
A.
pitStopsRequired
chosen
Indicates that a process, journey, or operation necessitates one or more scheduled pit stops to be completed.
-
B.
safetyCarPossible
Indicates that conditions are such that deploying a safety car is a valid or allowable option.
-
C.
safetyCarFrequency
Indicates how often a safety car is deployed or appears within a given context or time frame.
-
D.
hasStalls
Indicates that an entity contains, provides, or is equipped with stalls (e.g., booths, compartments, or vendor stands).
-
E.
hasOfficialPracticeSessions
Indicates that an entity conducts formally organized and recognized practice sessions as part of its regular activities.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02904dcf481909e4340a64ee1034e |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021cc68648190bb86d049ebe80f12 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.