Triple
T1284454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiat Ducato |
E27402
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Fiat Professional |
E16981
|
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: Fiat Professional | Statement: [Fiat Ducato, manufacturer, Fiat Professional]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fiat Professional Context triple: [Fiat Ducato, manufacturer, Fiat Professional]
-
A.
Fiat Ducato
The Fiat Ducato is a popular light commercial van produced by Fiat, widely used across Europe for cargo transport, camper conversions, and other utility purposes.
-
B.
Fiat
chosen
Fiat is an Italian automobile manufacturer known for producing compact city cars and mass-market vehicles, now operating as a brand within the multinational automotive group Stellantis.
-
C.
Fiat CR series
The Fiat CR series is a family of Italian biplane fighter aircraft developed by Fiat in the interwar and World War II era.
-
D.
Lancia
Lancia is an Italian automobile manufacturer renowned for its historic innovations and success in motorsport, particularly rally racing.
-
E.
Peugeot Boxer
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.
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b6dda48190a2e79084adea6ec1 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acacba08f881909230c2d9459d4bc4 |
completed | March 7, 2026, 10:54 p.m. |
Created at: March 1, 2026, 7:50 p.m.