Triple

T19406855
Position Surface form Disambiguated ID Type / Status
Subject Kotor Bay E485484 entity
Predicate hasPart P35 FINISHED
Object Tivat 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: Tivat | Statement: [Kotor Bay, hasPart, Tivat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tivat
Context triple: [Kotor Bay, hasPart, Tivat]
  • A. Tivat chosen
    Tivat is a coastal town in Montenegro known for its luxury marina Porto Montenegro and proximity to the Bay of Kotor.
  • B. Toirano
    Toirano is a small historic municipality in the Liguria region of northwestern Italy, known for its impressive karst caves and medieval village.
  • C. Otautau
    Otautau is a small rural town in Southland, New Zealand, known as a service centre for the surrounding farming community.
  • D. Milna
    Milna is a volcanic feature located on Simushir Island in Russia’s Kuril Islands chain.
  • E. Milna
    Milna is a picturesque coastal village and harbor town on the western side of the Croatian island of Brač, known for its traditional stone architecture and sheltered bay.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6257bad0c819088dd7729b6a36a94 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.