Triple
T8327060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEAT León |
E194978
|
entity |
| Predicate | relatedModel |
P37
|
FINISHED |
| Object | SEAT Toledo |
E727930
|
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 Toledo | Statement: [SEAT León, relatedModel, SEAT Toledo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SEAT Toledo Context triple: [SEAT León, relatedModel, SEAT Toledo]
-
A.
SEAT Toledo
chosen
The SEAT Toledo is a compact family car produced by Spanish automaker SEAT, known for sharing its underpinnings with other Volkswagen Group models.
-
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 127
SEAT 127 is a Spanish-built supermini car produced by SEAT under license from Fiat, closely based on the Fiat 127 and popular in Spain during the 1970s and early 1980s.
-
D.
SEAT Ibiza
The SEAT Ibiza is a popular supermini car produced by Spanish automaker SEAT, known for its compact size, practicality, and value-oriented positioning in the European market.
-
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 (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_69ca82e87f2c8190bdb71ee29dfc642d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f80ed288190b300e18b9bc58824 |
completed | March 31, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1cf20900819084ab766192f36239 |
completed | April 2, 2026, 7:38 a.m. |
Created at: March 30, 2026, 5:56 p.m.