Triple

T22895136
Position Surface form Disambiguated ID Type / Status
Subject Rîșcani sector E568152 entity
Predicate hasOfficialName P66 FINISHED
Object Sectorul Rîșcani 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: Sectorul Rîșcani | Statement: [Rîșcani sector, hasOfficialName, Sectorul Rîșcani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sectorul Rîșcani
Context triple: [Rîșcani sector, hasOfficialName, Sectorul Rîșcani]
  • A. Rîșcani sector chosen
    Rîșcani sector is an administrative district of Chișinău, the capital city of Moldova.
  • 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. Băneasa
    Băneasa is a northern district of Bucharest, Romania, known for its residential areas, shopping centers, and proximity to Băneasa Airport and Băneasa Forest.
  • D. Băneasa
    Băneasa is a commune in southeastern Romania, located in Constanța County near the border with Bulgaria.
  • E. Petrești
    Petrești is a village that forms part of the town of Sebeș in Alba County, central Romania.
  • 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_69e2458c23ec81908fa2570692c6614f completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f17fc83d688190a8ab5ea0aad1e7ec completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.