Triple

T21952684
Position Surface form Disambiguated ID Type / Status
Subject Veglia E542106 entity
Predicate hasSettlement P1068 FINISHED
Object Čižići 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: Čižići | Statement: [Veglia, hasSettlement, Čižići]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Čižići
Context triple: [Veglia, hasSettlement, Čižići]
  • A. Čižići chosen
    Čižići is a small coastal village and tourist settlement on the island of Krk in Croatia, known for its bay and nearby healing mud beaches.
  • B. Tršić
    Tršić is a Serbian village best known as the birthplace of the renowned language reformer and folklorist Vuk Karadžić.
  • C. Jagodnjak
    Jagodnjak is a village and municipality located in the Baranja region of northeastern Croatia, near the border with Hungary and Serbia.
  • D. Zrinjevac
    Zrinjevac is a historic central park and square in Zagreb, Croatia, known for its tree-lined promenades, elegant pavilions, and cultural landmarks.
  • E. Čapljina
    Čapljina is a town in southern Bosnia and Herzegovina known for its location in the Neretva River valley near the Croatian border.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243d43d8819084e280b129631288 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:59 p.m.