Triple

T19406863
Position Surface form Disambiguated ID Type / Status
Subject Kotor Bay E485484 entity
Predicate hasPart P35 FINISHED
Object Kamenari 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: Kamenari | Statement: [Kotor Bay, hasPart, Kamenari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamenari
Context triple: [Kotor Bay, hasPart, Kamenari]
  • A. Kamenari chosen
    Kamenari is a small coastal village in Montenegro known for its ferry crossing and scenic location on the Bay of Kotor.
  • B. Kamayurá
    Kamayurá is an indigenous people of Brazil’s Upper Xingu region, known for their distinct Tupi–Guaraní language and rich ceremonial and ritual traditions.
  • C. Karaiyamai
    Karaiyamai is a locality situated within Madhesh Province in southeastern Nepal.
  • D. Kamatero
    Kamatero is a suburban municipality within the Athens metropolitan area in Greece, known primarily as a residential district.
  • E. Kutama
    Kutama is a rural village in the Zvimba District of northern Zimbabwe, known primarily as the birthplace of former president Robert Mugabe.
  • 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.