Triple
T6690515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citroën Jumper |
E152613
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Peugeot Boxer |
E129387
|
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: Peugeot Boxer | Statement: [Citroën Jumper, relatedTo, Peugeot Boxer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peugeot Boxer Context triple: [Citroën Jumper, relatedTo, Peugeot Boxer]
-
A.
Peugeot Boxer
chosen
The Peugeot Boxer is a large light commercial van produced by the French automaker Peugeot, widely used for cargo transport, passenger shuttles, and camper conversions.
-
B.
Citroën Jumper
The Citroën Jumper is a large light commercial van produced by Citroën, widely used in Europe for cargo and passenger transport.
-
C.
Renault Master
The Renault Master is a large light commercial van produced by the French manufacturer Renault, widely used in Europe for cargo and passenger transport.
-
D.
Renault Trafic
The Renault Trafic is a light commercial van produced by French automaker Renault, widely used in Europe for cargo and passenger transport.
-
E.
Peugeot Expert
The Peugeot Expert is a light commercial van produced by the French automaker Peugeot, commonly used for cargo and passenger transport in European markets.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b15276208190b4c0e90ca337d2b4 |
completed | March 27, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7007d2cb881909cebe2ab0d55ce3d |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:04 p.m.