Triple
T19592999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peugeot 4007 |
E470282
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Peugeot 4007 SUV |
—
|
NE NERFINISHED |
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 4007 SUV | Statement: [Peugeot 4007, alsoKnownAs, Peugeot 4007 SUV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peugeot 4007 SUV Context triple: [Peugeot 4007, alsoKnownAs, Peugeot 4007 SUV]
-
A.
Peugeot 4007
chosen
The Peugeot 4007 is a compact crossover SUV developed by Peugeot in collaboration with Mitsubishi, based on the Outlander platform and produced primarily for the European market.
-
B.
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.
-
C.
Peugeot 508
The Peugeot 508 is a mid-size family car produced by the French automaker Peugeot, known for its sleek design, comfortable ride, and range of efficient engines.
-
D.
Peugeot 807
The Peugeot 807 is a large French multi-purpose vehicle (MPV) produced by Peugeot, known for its spacious seven-seat interior and family-oriented design.
-
E.
Peugeot 3008
The Peugeot 3008 is a compact crossover SUV known for its distinctive design, practical interior, and advanced technology features.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64057460c8190962e2e58f06b3985 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:43 p.m.