Triple

T13223921
Position Surface form Disambiguated ID Type / Status
Subject Istriot E314824 entity
Predicate spokenInTown P35263 FINISHED
Object Fažana E544362 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: Fažana | Statement: [Istriot, spokenInTown, Fažana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fažana
Context triple: [Istriot, spokenInTown, Fažana]
  • A. Fažana chosen
    Fažana is a coastal town in Croatia’s Istria region, known for its fishing heritage, tourism, and historical ties to the Istriot language.
  • B. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • C. Dudinka
    Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
  • D. Vranje
    Vranje is a historic city in southern Serbia known for its Ottoman-era architecture, cultural heritage, and role as an administrative and economic center of the region.
  • E. Bosančica
    Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf74d708190a61d8ad938653b06 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7546b9ae081909f97fc4a06b8f927 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:19 p.m.