Triple
T2977186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bathurst 1000 |
E80425
|
entity |
| Predicate | pitStopsRequired |
P44365
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Bathurst 1000, pitStopsRequired, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pitStopsRequired Context triple: [Bathurst 1000, pitStopsRequired, multiple]
-
A.
numberOfIntermediateStops
Indicates the count of stops or pauses that occur between the starting point and the final destination in a journey or process.
-
B.
roundOfStoppage
Indicates the specific round in which a contest, match, or event was stopped or ended prematurely.
-
C.
safetyCarFrequency
Indicates how often a safety car is deployed or appears within a given context or time frame.
-
D.
numberOfStations
Indicates the total count of stations associated with or contained by a given entity.
-
E.
numberOfPumps
Indicates the quantity of pumps associated with or required by an entity or system.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad998c589c8190b4530f3fb8975187 |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad96105a708190a9ec4838cbcb1207 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f5d28c8190899d90204dc43428 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:58 p.m.