Triple
T18156533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Rascasse |
E434645
|
entity |
| Predicate | positionOnLap |
P130672
|
FINISHED |
| Object | near end of lap |
—
|
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: near end of lap | Statement: [La Rascasse, positionOnLap, near end of lap]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnLap Context triple: [La Rascasse, positionOnLap, near end of lap]
-
A.
positionOnRace
Indicates the relative ranking or placement an entity holds within the context of a race or competitive event.
-
B.
positionInRound
Indicates the specific ordinal place an entity occupies within a given round or sequence of rounds.
-
C.
raceNumberAtTrack
Indicates the specific ordinal number assigned to a race within the sequence of races held at a particular track.
-
D.
safetyCarLaps
Indicates the number of laps in a race that were completed under safety car conditions.
-
E.
positionRelativeToTailrace
Indicates the spatial relationship of an entity’s location with respect to the tailrace (the downstream outflow area of a hydraulic or hydroelectric 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4debe27a88190bd76c6f78fcf1bd1 |
completed | April 19, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:30 a.m.