Triple
T16420120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DS 3 Crossback |
E398794
|
entity |
| Predicate | assemblyLocation |
P40
|
FINISHED |
| Object | Poissy, France |
E1211491
|
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: Poissy, France | Statement: [DS 3 Crossback, assemblyLocation, Poissy, France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poissy, France Context triple: [DS 3 Crossback, assemblyLocation, Poissy, France]
-
A.
Poissy, France
chosen
Poissy, France is a commune in the western suburbs of Paris known for its historic architecture and major automobile manufacturing facilities.
-
B.
Vaucresson, France
Vaucresson, France is a small, affluent suburban commune in the western outskirts of Paris, known for its residential character and proximity to the capital.
-
C.
Marnes-la-Coquette, France
Marnes-la-Coquette, France is a small, affluent commune in the western suburbs of Paris, historically noted as the place where the renowned scientist Louis Pasteur died.
-
D.
Blois, France
Blois, France is a historic city on the Loire River known for its Renaissance château and as the birthplace of King Stephen of England.
-
E.
Maisons-Laffitte, France
Maisons-Laffitte, France is a suburban town northwest of Paris known for its historic château and prominent horse-racing track.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328f5c1bc8190a679f35bd6c0bc97 |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00457f60c081908f4e46993780ac09 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:09 a.m.