Triple

T6352865
Position Surface form Disambiguated ID Type / Status
Subject Budva E142917 entity
Predicate hasPart P35 FINISHED
Object Budva Old Town E142917 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: Budva Old Town | Statement: [Budva, hasPart, Budva Old Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Budva Old Town
Context triple: [Budva, hasPart, Budva Old Town]
  • A. Budva chosen
    Budva is a historic coastal town on the Adriatic Sea, famous for its medieval old town, sandy beaches, and role as a major tourist destination in Montenegro.
  • B. Old City of Dubrovnik
    The Old City of Dubrovnik is a remarkably well-preserved medieval walled city on Croatia’s Adriatic coast, renowned for its historic architecture, marble streets, and role as a major maritime and cultural center.
  • C. 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.
  • D. Stari Grad
    Stari Grad is one of the oldest towns in Croatia, a historic harbor settlement on the island of Hvar known for its ancient Greek-era layout and UNESCO-listed surrounding plain.
  • E. Stari Grad
    Stari Grad is the historic central municipality of Belgrade, known for its old town architecture, cultural landmarks, and key administrative and commercial areas.
  • 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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067dec4a88190992d57a0cc7782ad completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6386784008190b0ac82804a4ee30e completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:31 p.m.