Triple

T22807609
Position Surface form Disambiguated ID Type / Status
Subject Buiucani sector E564582 entity
Predicate belongsToAdministrativeUnit P63290 FINISHED
Object Chișinău municipality 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: Chișinău municipality | Statement: [Buiucani sector, belongsToAdministrativeUnit, Chișinău municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chișinău municipality
Context triple: [Buiucani sector, belongsToAdministrativeUnit, Chișinău municipality]
  • A. Chișinău chosen
    Chișinău is the largest city and main political, economic, and cultural center of Moldova.
  • B. Tiraspol
    Tiraspol is the de facto capital and largest city of the unrecognized breakaway region of Transnistria in eastern Moldova.
  • C. Beltsy, Moldova
    Beltsy, Moldova is a major industrial and cultural city in northern Moldova, often considered the country’s second-largest urban center.
  • D. Soroca
    Soroca is a historic town in northern Moldova known for its well-preserved medieval fortress on the banks of the Dniester River.
  • E. Chișinău municipal authorities
    Chișinău municipal authorities are the local government bodies responsible for administering and managing public services, urban development, and local policies in Moldova’s capital city.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d5d41dc819081912d9e29828bfb completed April 29, 2026, 3:39 a.m.
Created at: April 17, 2026, 3:32 p.m.