Triple
T6851601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiat 242 |
E158029
|
entity |
| Predicate | coDevelopedBy |
P3324
|
FINISHED |
| Object | Citroën |
E16638
|
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 | Statement: [Fiat 242, coDevelopedBy, Citroën]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Citroën Context triple: [Fiat 242, coDevelopedBy, Citroën]
-
A.
Citroën
chosen
Citroën is a historic French automobile manufacturer known for its innovative engineering and distinctive car designs.
-
B.
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.
-
C.
Renault
Renault is a major French automobile manufacturer known for producing a wide range of passenger cars, commercial vehicles, and electric vehicles sold worldwide.
-
D.
Citroën C-Elysée
The Citroën C-Elysée is a compact sedan produced by the French automaker Citroën, designed primarily for emerging markets with an emphasis on affordability, practicality, and spaciousness.
-
E.
Citroën Dispatch
The Citroën Dispatch is a light commercial van produced by Citroën, widely used in Europe for cargo and passenger transport.
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d84e6fb08190915954be5b0df2d8 |
completed | March 27, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748b977948190b60a85b93d61794a |
completed | March 28, 2026, 3:19 a.m. |
Created at: March 27, 2026, 2:20 p.m.