Triple
T5886149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARCA Menards Series |
E130865
|
entity |
| Predicate | typicalCarNumberRange |
P67272
|
FINISHED |
| Object | 0–99 |
—
|
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: 0–99 | Statement: [ARCA Menards Series, typicalCarNumberRange, 0–99]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCarNumberRange Context triple: [ARCA Menards Series, typicalCarNumberRange, 0–99]
-
A.
RVNumberRange
Indicates that a recreational vehicle’s number or identifier falls within a specified numeric range.
-
B.
droveCarNumber
Indicates that a person operated or was driving a specific car identified by its number.
-
C.
numberOfCarsPerSet
Indicates the quantity of cars that are included within a single set.
-
D.
numberOfPassengerCars
Indicates the total count of passenger cars associated with or contained in a given entity or context.
-
E.
numberOfVehicles
Indicates the total count of vehicles associated with a given entity or context.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03fe07b7081909f8577ec3a9a1a8d |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0334bdc308190ad0d7199ab975588 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03fdf954c8190ae97a5c9ce40bdfa |
completed | March 22, 2026, 7:15 p.m. |
Created at: March 22, 2026, 3:57 p.m.