Triple

T13263765
Position Surface form Disambiguated ID Type / Status
Subject Crikvenica E315863 entity
Predicate locatedOpposite P3232 FINISHED
Object Island of Krk E125760 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: Island of Krk | Statement: [Crikvenica, locatedOpposite, Island of Krk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Island of Krk
Context triple: [Crikvenica, locatedOpposite, Island of Krk]
  • A. Krk Island chosen
    Krk Island is a large Croatian island in the northern Adriatic Sea, known for its historic towns, tourism, and cultural heritage.
  • B. Lošinj
    Lošinj is a Croatian Adriatic island known for its mild climate, lush pine forests, and long-standing reputation as a health and wellness destination.
  • C. Brač
    Brač is a large Adriatic island in Croatia known for its white-pebble Zlatni Rat beach and historic stone masonry.
  • D. Dugi Otok
    Dugi Otok is a long, sparsely populated Croatian island in the Adriatic Sea, known for its dramatic cliffs, secluded beaches, and the Telašćica Nature Park.
  • E. Korčula
    Korčula is a historic Adriatic island known for its medieval walled town, dense forests, and rich Croatian cultural heritage.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901c65048190bd8b3c4872f22520 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f794202df08190acf1a7710b64198c completed May 3, 2026, 6:29 p.m.
Created at: April 9, 2026, 9:25 p.m.