Triple
T24938398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petit Le Mans |
E623380
|
entity |
| Predicate | raceDurationFormat |
P47077
|
FINISHED |
| Object | 10 hours |
—
|
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: 10 hours | Statement: [Petit Le Mans, raceDurationFormat, 10 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceDurationFormat Context triple: [Petit Le Mans, raceDurationFormat, 10 hours]
-
A.
timingOfRace
chosen
Indicates the temporal details or schedule associated with a race, such as its start time, duration, or overall timing.
-
B.
raceWinningTime_hours
Indicates the duration, measured in hours, that it took the winning participant to complete the race.
-
C.
raceDistanceType
Indicates the specific type or category of distance over which a race is conducted.
-
D.
raceRecordThirds
Indicates that an entity holds or is associated with the third-place record in a particular race or racing event.
-
E.
raceRecord
Indicates that there exists a recorded result or performance entry for an entity participating in a race or competitive event.
- 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_69e2fac6b5a48190a1c38857f00915a9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:30 a.m.