Triple

T19788181
Position Surface form Disambiguated ID Type / Status
Subject Žepa E475332 entity
Predicate nearbyCity P350 FINISHED
Object Višegrad 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: Višegrad | Statement: [Žepa, nearbyCity, Višegrad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Višegrad
Context triple: [Žepa, nearbyCity, Višegrad]
  • A. Višegrad chosen
    Višegrad is a historic town in eastern Bosnia and Herzegovina, known for its Ottoman-era Mehmed Paša Sokolović Bridge and its literary significance in the works of Ivo Andrić.
  • B. Gradačac
    Gradačac is a historic town and municipality in northern Bosnia and Herzegovina, known for its Ottoman-era fortress and role as a regional cultural center.
  • C. Stari Grad
    Stari Grad is one of the oldest towns in Croatia, a historic harbor settlement on the island of Hvar known for its ancient Greek-era layout and UNESCO-listed surrounding plain.
  • D. Stari Grad
    Stari Grad is the historic central municipality of Belgrade, known for its old town architecture, cultural landmarks, and key administrative and commercial areas.
  • E. Vreoci
    Vreoci is a suburban settlement in the Lazarevac municipality of Belgrade, Serbia, known for its proximity to major lignite coal mining operations.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65389c9ac81909e61b3cbb9213e72 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.