Triple

T19014102
Position Surface form Disambiguated ID Type / Status
Subject Hvar Fortress E465301 entity
Predicate locatedIn P40 FINISHED
Object Hvar 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 | Statement: [Hvar Fortress, locatedIn, Hvar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hvar
Context triple: [Hvar Fortress, locatedIn, Hvar]
  • 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. Korčula
    Korčula is a historic Adriatic island known for its medieval walled town, dense forests, and rich Croatian cultural heritage.
  • C. Brač
    Brač is a large Adriatic island in Croatia known for its white-pebble Zlatni Rat beach and historic stone masonry.
  • D. 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.
  • E. Trogir
    Trogir is a historic coastal town in Croatia renowned for its well-preserved medieval architecture and UNESCO-listed old town on the Adriatic Sea.
  • 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.