Triple
T4305892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peugeot 207 |
E99953
|
entity |
| Predicate | relatedModel |
P37
|
FINISHED |
| Object | Citroën C3 |
E395012
|
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: Citroën C3 | Statement: [Peugeot 207, relatedModel, Citroën C3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Citroën C3 Context triple: [Peugeot 207, relatedModel, Citroën C3]
-
A.
Citroën C3
chosen
The Citroën C3 is a supermini car produced by the French manufacturer Citroën, known for its distinctive styling and practical, city-friendly design.
-
B.
Citroën C4
The Citroën C4 is a compact family car produced by the French automaker Citroën, known for its distinctive styling and comfort-focused design.
-
C.
Citroën C2
The Citroën C2 is a small three-door supermini car produced by the French manufacturer Citroën in the 2000s, known for its compact dimensions and youthful, sporty styling.
-
D.
Citroën C1
The Citroën C1 is a compact city car produced by the French automaker Citroën, known for its small size, efficiency, and urban-friendly design.
-
E.
Renault Clio
The Renault Clio is a popular supermini car produced by French manufacturer Renault, known for its practicality, efficiency, and strong sales across Europe.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350ba57ec8190afda7d8318e5d2d0 |
completed | March 12, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5bf4dd48190b84d8488a4f196a8 |
completed | March 14, 2026, 11:56 p.m. |
Created at: March 12, 2026, 11:09 p.m.