Triple

T19924131
Position Surface form Disambiguated ID Type / Status
Subject Dubrovnik-Neretva County E478879 entity
Predicate contains P35 FINISHED
Object Metković 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: Metković | Statement: [Dubrovnik-Neretva County, contains, Metković]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metković
Context triple: [Dubrovnik-Neretva County, contains, Metković]
  • A. Metković chosen
    Metković is a town in southern Croatia near the border with Bosnia and Herzegovina, situated on the Neretva River and known as a regional transport and agricultural center.
  • B. Medaković
    Medaković is a residential neighborhood in Belgrade, Serbia, known for its large apartment blocks and location within the municipality of Voždovac.
  • C. Milutin
    Milutin is a masculine given name of Slavic origin, commonly used in Serbian and other South Slavic cultures.
  • D. Ojdanić
    Ojdanić is a Serbian surname most notably associated with Dragoljub Ojdanić, a former Yugoslav Army general and political figure.
  • E. Mirko Cvetković
    Mirko Cvetković is a Serbian economist and politician who served as the country's prime minister in the late 2000s and early 2010s.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c88c548190b9b9eccbdd07d977 completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.