Triple
T21306253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiat A.80 |
E525205
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Fiat |
—
|
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: Fiat | Statement: [Fiat A.80, developer, Fiat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fiat Context triple: [Fiat A.80, developer, 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.
FIAT Lingotto
FIAT Lingotto is a historic former Fiat automobile factory in Turin, Italy, renowned for its innovative industrial architecture and rooftop test track, now redeveloped into a multifunctional complex.
-
E.
Autodelta
Autodelta was Alfa Romeo’s official racing and high-performance development division, renowned for engineering the company’s competition cars and advanced sports prototypes.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aa52a508190bb5dc806b6483574 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 16, 2026, 4:05 p.m.