Triple
T17280915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Aygo |
E419523
|
entity |
| Predicate | relatedModel |
P37
|
FINISHED |
| Object | Peugeot 108 |
E1261830
|
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 108 | Statement: [Toyota Aygo, relatedModel, Peugeot 108]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peugeot 108 Context triple: [Toyota Aygo, relatedModel, Peugeot 108]
-
A.
Peugeot 108
chosen
The Peugeot 108 is a compact city car produced by the French automaker Peugeot, known for its small size, urban-friendly design, and efficient engines.
-
B.
Peugeot 107
The Peugeot 107 is a compact city car produced by the French manufacturer Peugeot, known for its small size, fuel efficiency, and urban-friendly design.
-
C.
Peugeot 208
The Peugeot 208 is a popular supermini hatchback produced by the French automaker Peugeot, known for its stylish design, efficient engines, and modern technology features.
-
D.
Peugeot 106
The Peugeot 106 is a small city car produced by the French manufacturer Peugeot in the 1990s and early 2000s, known for its compact size, affordability, and popularity in European markets.
-
E.
Peugeot 301
The Peugeot 301 is a compact sedan designed primarily for emerging markets, known for its affordability, practicality, and robust build for varied road conditions.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43329904c8190a4cbc856b9b94ff8 |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195488d2c81908ac6c19f54f61796 |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:40 a.m.