Triple

T12293498
Position Surface form Disambiguated ID Type / Status
Subject Giurgiulești E293025 entity
Predicate locatedIn P40 FINISHED
Object Cahul District E268997 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: Cahul District | Statement: [Giurgiulești, locatedIn, Cahul District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cahul District
Context triple: [Giurgiulești, locatedIn, Cahul District]
  • A. Cahul District chosen
    Cahul District is an administrative region in southern Moldova known for its agricultural landscape, spa town of Cahul, and location along the Prut River bordering Romania.
  • B. 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.
  • C. 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.
  • D. Cahul
    Cahul is a city in southern Moldova known as a regional economic center and spa destination famed for its mineral waters.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d23def88190adbaa282dd03d6c6 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e79bf548190bf7f314222ed1ed1 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.