Triple

T13182738
Position Surface form Disambiguated ID Type / Status
Subject Rijeka Airport E313768 entity
Predicate servesTourism P17407 FINISHED
Object Krk Island 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: Krk Island | Statement: [Rijeka Airport, servesTourism, Krk Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krk Island
Context triple: [Rijeka Airport, servesTourism, Krk Island]
  • 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. Brač
    Brač is a large Adriatic island in Croatia known for its white-pebble Zlatni Rat beach and historic stone masonry.
  • C. 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.
  • D. Mljet
    Mljet is a Croatian Adriatic island famed for its lush forests, tranquil bays, and Mljet National Park with its distinctive saltwater lakes.
  • E. Brijuni Islands
    The Brijuni Islands are a scenic archipelago and national park off Croatia’s Istrian coast, known for their rich history, diverse wildlife, and well-preserved natural landscapes.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4a0b0081908027bf77442ff5ff completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d7edb40819095dfa45d3c61a0e3 completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:15 p.m.