Triple

T16991058
Position Surface form Disambiguated ID Type / Status
Subject Split-Dalmatia County E412194 entity
Predicate contains P35 FINISHED
Object Hvar (town) E104940 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: Hvar (town) | Statement: [Split-Dalmatia County, contains, Hvar (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hvar (town)
Context triple: [Split-Dalmatia County, contains, Hvar (town)]
  • 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. 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. Korčula
    Korčula is a historic Adriatic island known for its medieval walled town, dense forests, and rich Croatian cultural heritage.
  • 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. Rovinj
    Rovinj is a picturesque coastal town on Croatia’s Istrian peninsula, known for its colorful old town, fishing harbor, and popular seaside tourism.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d280e3348190a27bd5dc7cf87c0e completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc14d5688190945f7ae72f724922 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.