Triple

T7234355
Position Surface form Disambiguated ID Type / Status
Subject Bessarabia E155183 entity
Predicate majorCity P316 FINISHED
Object Cahul 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 | Statement: [Bessarabia, majorCity, Cahul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cahul
Context triple: [Bessarabia, majorCity, Cahul]
  • A. Tighina
    Tighina is a historic city in present-day Moldova, also known as Bender, which has long held strategic importance on the Dniester River.
  • B. Băilești
    Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial center.
  • C. Tecuci
    Tecuci is a town in eastern Romania known as a local transport hub and administrative center in Galați County.
  • D. Dubăsari
    Dubăsari is a town in the disputed region of Transnistria, internationally recognized as part of Moldova, known for its strategic location and hydroelectric dam on the Dniester River.
  • E. 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.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea130e5c819087f74883760fe327 completed March 27, 2026, 8:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc2d96588190bcf150cbfe4d015c completed March 28, 2026, 12:40 p.m.
Created at: March 27, 2026, 2:55 p.m.