Triple
T36045290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citroën Xsara WRC |
E1042654
|
entity |
| Predicate | primaryDriverForTitles |
P185710
|
FINISHED |
| Object | Sébastien Loeb |
E395611
|
NE 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: Sébastien Loeb | Statement: [Citroën Xsara WRC, primaryDriverForTitles, Sébastien Loeb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryDriverForTitles Context triple: [Citroën Xsara WRC, primaryDriverForTitles, Sébastien Loeb]
-
A.
primaryTagTitleOf
Indicates that one entity serves as the main or primary title associated with another entity’s tag.
-
B.
titleOfTitle
Indicates that one title is the title of another title (e.g., a sub-title or alternate title associated with a primary title).
-
C.
ledByTitle
Indicates that an organization, group, or initiative is headed or directed by a person holding a specified leadership title.
-
D.
driversTitlesWithCar
chosen
Indicates that drivers are associated with specific titles in the context of particular cars they drive.
-
E.
hasDriverTitle
Indicates that an entity holds a specific title or designation in the role of a driver.
- F. None of above.
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_69f76e2e41f8819091f9fb0536920fec |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a390d3444d881908838780fe6886b34 |
completed | June 22, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.