Triple

T20835608
Position Surface form Disambiguated ID Type / Status
Subject Zenica-Doboj Canton E512951 entity
Predicate containsMunicipality P852 FINISHED
Object Kakanj 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: Kakanj | Statement: [Zenica-Doboj Canton, containsMunicipality, Kakanj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kakanj
Context triple: [Zenica-Doboj Canton, containsMunicipality, Kakanj]
  • A. Kakanj chosen
    Kakanj is an industrial town in central Bosnia and Herzegovina known for its coal mining and cement production.
  • B. Ozalj
    Ozalj is a historic town in central Croatia known for its medieval castle and picturesque setting near the confluence of the Kupa and Dobra rivers.
  • C. Bjelovar
    Bjelovar is a city in central Croatia known as an administrative, cultural, and economic center of the Bjelovar-Bilogora County.
  • D. Krupanj
    Krupanj is a small town in western Serbia known for its mountainous surroundings, mining history, and role in World War I.
  • E. Temišvar
    Temišvar is the Serbian name for Timișoara, a major cultural and economic city in western Romania known for its historical architecture and role in the 1989 Romanian Revolution.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c32622c481908b8d2159bd5bb0ad completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:42 p.m.