Triple

T18814855
Position Surface form Disambiguated ID Type / Status
Subject Punat E460108 entity
Predicate near P350 FINISHED
Object Košljun 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: Košljun | Statement: [Punat, near, Košljun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Košljun
Context triple: [Punat, near, Košljun]
  • A. Košljun chosen
    Košljun is a small Croatian islet in the Adriatic Sea known for its historic Franciscan monastery and rich cultural and natural heritage.
  • B. Konjšica
    Konjšica is a small settlement in central Slovenia, notable as the place where renowned conductor Carlos Kleiber died.
  • C. Korošec
    Korošec is a Slovene surname most notably associated with Anton Korošec, a prominent early 20th-century Slovenian politician and statesman.
  • D. Krnjak
    Krnjak is a small municipality and village located in central Croatia, known for its rural character and mixed ethnic population.
  • E. Klinovec
    Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3df2d3881909b336d813bbfd0aa completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.