Triple
T24171629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luigi Musso |
E599149
|
entity |
| Predicate | notableRaceLocation |
P148811
|
FINISHED |
| Object | Reims-Gueux circuit |
—
|
NE NERFINISHED |
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: Reims-Gueux circuit | Statement: [Luigi Musso, notableRaceLocation, Reims-Gueux circuit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableRaceLocation Context triple: [Luigi Musso, notableRaceLocation, Reims-Gueux circuit]
-
A.
notableRaceTrackDepicted
Indicates that a work or representation depicts a race track that is considered notable or significant.
-
B.
notableLocation
Indicates that a location is especially significant, prominent, or noteworthy in relation to the subject.
-
C.
notableGameLocation
Indicates that a particular place is recognized as a significant or prominent location within a game.
-
D.
hasRaceLocation
chosen
Indicates that an event or entity is associated with the specific location where a race takes place.
-
E.
notableRaceMeeting
Indicates that there is a race meeting or event that is particularly notable or significant in relation to the subject.
- 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_69e288cbd62881909de32ca64a70c17b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:33 p.m.