Triple

T19014103
Position Surface form Disambiguated ID Type / Status
Subject Hvar Fortress E465301 entity
Predicate locatedOn P40 FINISHED
Object Hvar Island 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: Hvar Island | Statement: [Hvar Fortress, locatedOn, Hvar Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hvar Island
Context triple: [Hvar Fortress, locatedOn, Hvar Island]
  • A. Hvar chosen
    Hvar is a popular Croatian island in the Adriatic Sea known for its sunny climate, historic town, lavender fields, and vibrant nightlife.
  • B. Brač
    Brač is a large Adriatic island in Croatia known for its white-pebble Zlatni Rat beach and historic stone masonry.
  • C. Krk Island
    Krk Island is a large Croatian island in the northern Adriatic Sea, known for its historic towns, tourism, and cultural heritage.
  • D. Island of Cres
    The Island of Cres is a large Adriatic island in Croatia known for its rugged coastline, historic towns, and diverse wildlife, including a significant population of griffon vultures.
  • E. Mljet
    Mljet is a Croatian Adriatic island famed for its lush forests, tranquil bays, and Mljet National Park with its distinctive saltwater lakes.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6aac4dc8190ac51f22c13f1b96c completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:02 p.m.