Triple

T19045628
Position Surface form Disambiguated ID Type / Status
Subject Dobrinj E466122 entity
Predicate hasNearbyEntity P39585 FINISHED
Object Vrbnik 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: Vrbnik | Statement: [Dobrinj, hasNearbyEntity, Vrbnik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vrbnik
Context triple: [Dobrinj, hasNearbyEntity, Vrbnik]
  • A. Vrbnik chosen
    Vrbnik is a historic coastal town on the Croatian island of Krk, known for its clifftop old town, narrow streets, and production of the Žlahtina white wine.
  • B. Vrlika
    Vrlika is a small historic town in inland Dalmatia, Croatia, known for its scenic setting near Lake Peruća and the Dinara mountain range.
  • C. Savski Venac
    Savski Venac is a central urban municipality of Belgrade, Serbia, known for its government institutions, major transport hubs, and historic neighborhoods.
  • D. Vrbanja
    Vrbanja is a river in Bosnia and Herzegovina that flows through central parts of the country before joining the Vrbas River.
  • E. Vrhnika
    Vrhnika is a historic town and municipality in central Slovenia, known as a former important trading post and the birthplace of the writer Ivan Cankar.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d803b2b08190b057d4b5bc555d4f completed April 20, 2026, 7:38 a.m.
Created at: April 10, 2026, 12:03 p.m.