Triple

T11900850
Position Surface form Disambiguated ID Type / Status
Subject Moldovans E283145 entity
Predicate populationCenter P2106 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: [Moldovans, populationCenter, Chișinău]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chișinău
Context triple: [Moldovans, populationCenter, 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd16433881909befca9774bdaab4 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4586898888190b58e3102d7edf7df completed May 1, 2026, 7:38 a.m.
Created at: April 8, 2026, 9:44 p.m.