Triple
T18431849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEAT 600 |
E450288
|
entity |
| Predicate | introducedBy |
P513
|
FINISHED |
| Object | SEAT |
—
|
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: SEAT | Statement: [SEAT 600, introducedBy, SEAT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SEAT Context triple: [SEAT 600, introducedBy, 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 Tarraco
The SEAT Tarraco is a mid-size, seven-seat SUV produced by Spanish automaker SEAT, positioned as the brand’s flagship family and crossover model.
-
C.
SEAT Sport
SEAT Sport is the motorsport division of Spanish car manufacturer SEAT, known for running factory-backed touring car and rally programs in international competitions.
-
D.
SEAT Toledo
The SEAT Toledo is a compact family car produced by Spanish automaker SEAT, known for sharing its underpinnings with other Volkswagen Group models.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51b1771788190b26afdf65e9de502 |
completed | April 19, 2026, 6:12 p.m. |
Created at: April 10, 2026, 11:26 a.m.