Triple

T10074233
Position Surface form Disambiguated ID Type / Status
Subject Dubăsari E213707 entity
Predicate locatedEastOf P4240 FINISHED
Object Chișinău E134770 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: Chișinău | Statement: [Dubăsari, locatedEastOf, Chișinău]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chișinău
Context triple: [Dubăsari, locatedEastOf, Chișinău]
  • A. Chișinău chosen
    Chișinău is the largest city and main political, economic, and cultural center of Moldova.
  • B. Tiraspol
    Tiraspol is the de facto capital and largest city of the unrecognized breakaway region of Transnistria in eastern Moldova.
  • C. Bălți
    Bălți is a major city in northern Moldova, known as an important industrial, cultural, and transportation center often referred to as the country’s "northern capital."
  • D. Iași
    Iași is a major cultural, academic, and economic center in northeastern Romania, known for its historic universities, churches, and role as a former capital of the Principality of Moldavia.
  • E. Beltsy, Moldova
    Beltsy, Moldova is a major industrial and cultural city in northern Moldova, often considered the country’s second-largest urban center.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd015ad488190aee3a2bfb58fb855 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29abcb72c81908c265f057532ccb7 completed April 5, 2026, 5:24 p.m.
Created at: March 30, 2026, 8:59 p.m.