Triple

T4700557
Position Surface form Disambiguated ID Type / Status
Subject Krk E104257 entity
Predicate airportLocatedNear P30013 FINISHED
Object Omišalj E466121 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: Omišalj | Statement: [Krk, airportLocatedNear, Omišalj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omišalj
Context triple: [Krk, airportLocatedNear, Omišalj]
  • A. Omišalj chosen
    Omišalj is a historic coastal town and tourist destination on the northern part of the Croatian island of Krk, overlooking the Kvarner Gulf.
  • B. Koprivnica
    Koprivnica is a city in northern Croatia known as a regional center of the Podravina area, with historical roots dating back to medieval times and a strong tradition in industry and culture.
  • C. Crikvenica
    Crikvenica is a coastal town and popular tourist resort on the Adriatic Sea in western Croatia.
  • D. Žabljak
    Žabljak is a small mountain town in northern Montenegro known as a major center for outdoor tourism, especially hiking and skiing in the Durmitor region.
  • E. Šibenik
    Šibenik is a historic coastal city in Croatia known for its medieval architecture and the UNESCO-listed Cathedral of St. James.
  • 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_69be4d7ad90c8190b6f36472a209a0f9 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:17 p.m.