Triple
T21175039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hut Stricklin |
E521788
|
entity |
| Predicate | cupSeriesPoles |
P108048
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Hut Stricklin, cupSeriesPoles, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cupSeriesPoles Context triple: [Hut Stricklin, cupSeriesPoles, 1]
-
A.
NASCARCupSeriesPoles
chosen
Indicates the number of times an entity has earned the pole position (fastest qualifying spot) in NASCAR Cup Series races.
-
B.
NASCARCupPoles
Indicates that a subject has achieved one or more pole positions (fastest qualifying times earning the first starting spot) in NASCAR Cup Series races.
-
C.
totalPolePositions
Indicates the total number of times an entity has achieved pole position in qualifying or starting order across all relevant events.
-
D.
seasonPoles
Indicates that an agent applies seasoning (such as spices or coatings) to poles.
-
E.
firstPolePositionDriver
Indicates the driver who achieved the very first pole position in a given racing event or series.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7271597288190b04baff9ca8d866c |
completed | April 21, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e5f6027c248190a170a36612bd337e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3 p.m.