Triple

T19406864
Position Surface form Disambiguated ID Type / Status
Subject Kotor Bay E485484 entity
Predicate hasPart P35 FINISHED
Object Muo 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: Muo | Statement: [Kotor Bay, hasPart, Muo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muo
Context triple: [Kotor Bay, hasPart, Muo]
  • A. Muo chosen
    Muo is a small coastal village in Montenegro situated along the Bay of Kotor, known for its traditional stone houses and scenic views of the surrounding mountains and sea.
  • B. Muno
    Muno is a village in the municipality of Florenville in the Wallonia region of southern Belgium.
  • C. Muu
    Muu is a deity in the traditional religion of the Guna people, associated with their spiritual cosmology and indigenous ritual practices.
  • D. Muolaa
    Muolaa was a former Finnish municipality on the Karelian Isthmus, historically significant for its rural communities and its transfer to Soviet control after World War II.
  • E. Mutso
    Mutso is a remote medieval mountain village and fortress complex in northeastern Georgia, renowned for its dramatic clifftop location and stone defensive towers.
  • 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.