Triple

T4700538
Position Surface form Disambiguated ID Type / Status
Subject Krk E104257 entity
Predicate hasTown P847 FINISHED
Object Krk (town) E104257 NE FINISHED

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: Krk (town) | Statement: [Krk, hasTown, Krk (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krk (town)
Context triple: [Krk, hasTown, Krk (town)]
  • A. Krk chosen
    Krk is a large Adriatic Sea island in the northern part of Croatia, known for its historic towns, beaches, and popular tourist resorts.
  • B. Crikvenica
    Crikvenica is a coastal town and popular tourist resort on the Adriatic Sea in western Croatia.
  • C. 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.
  • D. Kumrovec
    Kumrovec is a small village in northern Croatia best known as the birthplace of Yugoslav leader Josip Broz Tito and as an open-air ethnographic museum preserving traditional Zagorje architecture and culture.
  • E. Gorski Kotar
    Gorski Kotar is a mountainous, heavily forested region in western Croatia known for its rugged landscapes, rich biodiversity, and outdoor recreation opportunities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63cd447081908120ee1691009982 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1062fa8c81909263e6757ef7c2d5 completed March 21, 2026, 3:28 a.m.
Created at: March 20, 2026, 1:17 p.m.