Triple

T11955254
Position Surface form Disambiguated ID Type / Status
Subject Ungheni E284534 entity
Predicate isAdministrativeCenterOf P1474 FINISHED
Object Ungheni District E956045 NE FINISHED

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: Ungheni District | Statement: [Ungheni, isAdministrativeCenterOf, Ungheni District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ungheni District
Context triple: [Ungheni, isAdministrativeCenterOf, Ungheni District]
  • A. Ungheni District chosen
    Ungheni District is an administrative region in central Moldova known for its agricultural economy and proximity to the Romanian border.
  • B. Orhei District
    Orhei District is an administrative region in central Moldova known for its historic town of Orhei and the nearby Orheiul Vechi archaeological and cultural complex.
  • C. Florești District
    Florești District is an administrative region in northern Moldova known for its agricultural landscape and small towns.
  • D. Soroca District
    Soroca District is an administrative region in northern Moldova, known for its historic town of Soroca and its prominent medieval fortress on the Dniester River.
  • E. Dubăsari District
    Dubăsari District is an administrative region in central Moldova along the Dniester River, known for its strategic location and hydroelectric infrastructure.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90366fda8819083168c93abad27d4 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f471c931a88190a9d29262c62b9472 completed May 1, 2026, 9:26 a.m.
Created at: April 8, 2026, 9:45 p.m.