Triple

T18815166
Position Surface form Disambiguated ID Type / Status
Subject Fort Bokar E460116 entity
Predicate locatedIn P40 FINISHED
Object Dubrovnik 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: Dubrovnik | Statement: [Fort Bokar, locatedIn, Dubrovnik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dubrovnik
Context triple: [Fort Bokar, locatedIn, Dubrovnik]
  • A. Ragusa (Dubrovnik) chosen
    Ragusa (Dubrovnik) is the historic maritime city-state on the Adriatic coast, now known as Dubrovnik in Croatia, famed for its well-preserved medieval architecture and role as a major trading hub.
  • B. Spalato
    Spalato is the Italian name for Split, a historic coastal city in present-day Croatia known for its Roman heritage and strategic importance on the Adriatic Sea.
  • C. Zadar
    Zadar is a historic coastal city in Croatia on the Adriatic Sea, known for its Roman and Venetian ruins, medieval churches, and modern seaside installations like the Sea Organ.
  • D. 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.
  • E. Opatija
    Opatija is a historic seaside resort town on Croatia’s Adriatic coast, known for its elegant Austro-Hungarian architecture, mild climate, and long tradition of tourism.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3df2d3881909b336d813bbfd0aa completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.