Triple

T23313768
Position Surface form Disambiguated ID Type / Status
Subject Northern Croatia E590648 entity
Predicate majorCity P316 FINISHED
Object Čakovec 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: Čakovec | Statement: [Northern Croatia, majorCity, Čakovec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Čakovec
Context triple: [Northern Croatia, majorCity, Čakovec]
  • A. Čakovec chosen
    Čakovec is a historic town in northern Croatia, known as the administrative center of Međimurje County and for its medieval castle and cultural heritage.
  • B. Kakanj
    Kakanj is an industrial town in central Bosnia and Herzegovina known for its coal mining and cement production.
  • C. Bjelovar
    Bjelovar is a city in central Croatia known as an administrative, cultural, and economic center of the Bjelovar-Bilogora County.
  • D. Orešković
    Orešković is a Croatian surname borne by several notable figures in Croatian politics, sports, and public life.
  • E. 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.
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1977ee5d08190a9519d7867d6bef9 completed April 29, 2026, 5:30 a.m.
Created at: April 17, 2026, 5:06 p.m.