Triple
T18741219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michele Mouton |
E458295
|
entity |
| Predicate | activeInWorldRallyChampionship |
P109863
|
FINISHED |
| Object | early 1980s |
—
|
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: early 1980s | Statement: [Michele Mouton, activeInWorldRallyChampionship, early 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeInWorldRallyChampionship Context triple: [Michele Mouton, activeInWorldRallyChampionship, early 1980s]
-
A.
relationToWorldRallyChampionship
chosen
Indicates how an entity is connected or related to the World Rally Championship (e.g., by participation, organization, or association).
-
B.
WRCStarts
Indicates that an instance marks the beginning or kickoff of a World Rally Championship (WRC) event or season.
-
C.
racingSeriesHomologatedFor
Indicates that a racing series has officially approved or certified something (typically a vehicle or component) as eligible to compete in that series.
-
D.
racingSeries
Indicates that one entity is a racing series in which the other entity (such as a race, team, or driver) participates or to which it belongs.
-
E.
worldRallyChampionshipTitles
Indicates the number of World Rally Championship titles an entity has won.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768ecc2081908143310190ffb460 |
completed | April 20, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69e48d03766c8190a43f7681842f4f8d |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:51 a.m.