Triple

T18431891
Position Surface form Disambiguated ID Type / Status
Subject Zastava 750 E450289 entity
Predicate alsoKnownAs P39 FINISHED
Object Fičo 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: Fičo | Statement: [Zastava 750, alsoKnownAs, Fičo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fičo
Context triple: [Zastava 750, alsoKnownAs, Fičo]
  • 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. Frusino
    Frusino was an ancient town of central Italy in the region of Samnium, known from Roman-era administrative geography.
  • C. Foča
    Foča is a historic town in southeastern Bosnia and Herzegovina, known for its scenic setting near the Drina River and its significant role in regional history.
  • D. Fiquet
    Fiquet is a French surname most notably borne by Hortense Fiquet, the model and wife of painter Paul Cézanne.
  • E. Fiser
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51b1771788190b26afdf65e9de502 completed April 19, 2026, 6:12 p.m.
Created at: April 10, 2026, 11:26 a.m.