Triple
T4742960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiat 127 |
E105289
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Fiat |
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 | Statement: [Fiat 127, manufacturer, Fiat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fiat Context triple: [Fiat 127, manufacturer, Fiat]
-
A.
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.
-
B.
Lancia
Lancia is an Italian automobile manufacturer renowned for its historic innovations and success in motorsport, particularly rally racing.
-
C.
Alfa Romeo
Alfa Romeo is an Italian automobile manufacturer renowned for its sporty, stylish cars and long heritage in motorsport and performance engineering.
-
D.
Maserati
Maserati is an Italian luxury automobile manufacturer renowned for its high-performance sports cars and grand tourers distinguished by elegant design and racing heritage.
-
E.
Bertone
Bertone is an Italian automotive design and coachbuilding firm renowned for styling numerous iconic European cars.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64a85e9c81908e9c7bbbb998953e |
completed | March 20, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea4623ae881908f5dac4eaa56f91d |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:19 p.m.