Triple
T4497851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renault |
E100742
|
entity |
| Predicate | notableModel |
P1503
|
FINISHED |
| Object | Renault Captur |
E392657
|
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: Renault Captur | Statement: [Renault, notableModel, Renault Captur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renault Captur Context triple: [Renault, notableModel, Renault Captur]
-
A.
Renault Captur
chosen
The Renault Captur is a compact crossover SUV known for its stylish design, urban-friendly size, and practical interior, positioned in the popular small SUV segment.
-
B.
Peugeot 3008
The Peugeot 3008 is a compact crossover SUV known for its distinctive design, practical interior, and advanced technology features.
-
C.
Peugeot 2008
The Peugeot 2008 is a subcompact crossover SUV produced by the French automaker Peugeot, known for its urban-friendly size, modern styling, and efficient engines.
-
D.
Citroën C5 X
The Citroën C5 X is a large crossover-style flagship model from Citroën that blends elements of a sedan, estate, and SUV, emphasizing comfort and distinctive design.
-
E.
Peugeot 5008
The Peugeot 5008 is a mid-size crossover SUV, originally launched as an MPV, known for its seven-seat practicality and modern French styling.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56c065e88190934eb0b1632d79bb |
completed | March 20, 2026, 2:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd67c7da888190a60bd738e53156ed |
completed | March 20, 2026, 3:29 p.m. |
Created at: March 20, 2026, 1 p.m.