Triple
T18431890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zastava 750 |
E450289
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Fićo |
E1324468
|
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: Fićo | Statement: [Zastava 750, alsoKnownAs, Fićo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fićo Context triple: [Zastava 750, alsoKnownAs, Fićo]
-
A.
Fića
chosen
Fića is the popular nickname for the Zastava 750, a compact Yugoslav-era city car based on the Fiat 600 that became an iconic symbol of everyday life in former Yugoslavia.
-
B.
Fuscaldo
Fuscaldo is a coastal town and comune in the Calabria region of southern Italy, known for its historic center and beaches along the Tyrrhenian Sea.
-
C.
Forlani
Forlani is an Italian surname most notably associated with English actress Claire Forlani.
-
D.
Ferlito
Ferlito is an Italian surname most notably associated with American actress Vanessa Ferlito.
-
E.
Frusino
Frusino was an ancient town of central Italy in the region of Samnium, known from Roman-era administrative geography.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51b1771788190b26afdf65e9de502 |
completed | April 19, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040fd930f48190964028216a09e56d |
completed | May 13, 2026, 5:44 a.m. |
Created at: April 10, 2026, 11:26 a.m.