Triple

T7013388
Position Surface form Disambiguated ID Type / Status
Subject Sutjeska National Park E162638 entity
Predicate nearestCity P350 FINISHED
Object Foča E629800 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: Foča | Statement: [Sutjeska National Park, nearestCity, Foča]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Foča
Context triple: [Sutjeska National Park, nearestCity, Foča]
  • A. Foča chosen
    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.
  • B. Fažana
    Fažana is a coastal town in Croatia’s Istria region, known for its fishing heritage, tourism, and historical ties to the Istriot language.
  • C. Fussa
    Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
  • D. Žepa
    Žepa is a small town in eastern Bosnia and Herzegovina that became known as a UN-declared "safe area" and site of a tragic episode during the Bosnian War.
  • E. Piva
    Piva is a river in Montenegro and Bosnia and Herzegovina known for its deep canyon, hydroelectric dam, and role as a headwater of the Drina River.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc59cbfc8190bba9ebd14143d43c completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a4ff6148190a7a453328507fd6b completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:34 p.m.