Triple

T22807810
Position Surface form Disambiguated ID Type / Status
Subject Valea Morilor Park E564587 entity
Predicate locatedIn P40 FINISHED
Object Buiucani sector 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: Buiucani sector | Statement: [Valea Morilor Park, locatedIn, Buiucani sector]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buiucani sector
Context triple: [Valea Morilor Park, locatedIn, Buiucani sector]
  • A. Buiucani sector chosen
    Buiucani sector is an administrative district of Chișinău, Moldova, known for its residential neighborhoods, parks, and educational institutions.
  • B. Ciocana sector
    Ciocana sector is an administrative district of Chișinău, the capital city of Moldova, known for its residential neighborhoods and industrial areas.
  • C. Rusororo sector
    Rusororo sector is an administrative sector within Gasabo District in Kigali, Rwanda, known for its rapidly growing residential areas and proximity to key urban infrastructure.
  • D. Rîșcani sector
    Rîșcani sector is an administrative district of Chișinău, the capital city of Moldova.
  • E. Zugurma sector
    Zugurma sector is a designated section of Kainji National Park in Nigeria, known for its savanna landscapes and wildlife habitats.
  • 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.