Triple
T1762893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cariad |
E38696
|
entity |
| Predicate | servesBrand |
P6337
|
FINISHED |
| Object | SEAT |
E37746
|
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: SEAT | Statement: [Cariad, servesBrand, SEAT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SEAT Context triple: [Cariad, servesBrand, SEAT]
-
A.
SEAT
chosen
SEAT is a Spanish automobile manufacturer known for producing affordable, stylish cars and operating as a subsidiary of the Volkswagen Group.
-
B.
SEAT León
The SEAT León is a compact hatchback car produced by Spanish manufacturer SEAT, known for combining sporty styling and performance with everyday practicality.
-
C.
Peugeot
Peugeot is a historic French automobile manufacturer known for producing a wide range of passenger cars and commercial vehicles, now operating as a core brand within the multinational automotive group Stellantis.
-
D.
Lancia
Lancia is an Italian automobile manufacturer renowned for its historic innovations and success in motorsport, particularly rally racing.
-
E.
Peugeot Sport
Peugeot Sport is the motorsport arm of French automaker Peugeot, responsible for designing, developing, and running the brand’s racing programs in disciplines such as rallying, endurance racing, and touring cars.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa6465245c8190b1ee84628c62c529 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0f12fd8819099759ebcdfc19494 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:31 p.m.