Triple

T11264743
Position Surface form Disambiguated ID Type / Status
Subject Bălți E266653 entity
Predicate alternativeName P39 FINISHED
Object Beltsy, Moldova E266653 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: Beltsy, Moldova | Statement: [Bălți, alternativeName, Beltsy, Moldova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beltsy, Moldova
Context triple: [Bălți, alternativeName, Beltsy, Moldova]
  • A. Beltsy, Moldova chosen
    Beltsy, Moldova is a major industrial and cultural city in northern Moldova, often considered the country’s second-largest urban center.
  • B. Tiraspol
    Tiraspol is the de facto capital and largest city of the unrecognized breakaway region of Transnistria in eastern Moldova.
  • C. Minsk
    Minsk is the capital and largest city of Belarus, serving as its political, economic, and cultural center.
  • D. Moldova
    Moldova is a landlocked Eastern European country situated between Romania and Ukraine, known for its wine production, agricultural economy, and post-Soviet political landscape.
  • E. Chernivtsi
    Chernivtsi is a historic city in western Ukraine known for its multicultural heritage and distinctive Austro-Hungarian architecture, including the UNESCO-listed Chernivtsi National University complex.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94d56048190bf808e1bc2188714 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccc7fdc48190a84b8b584f67b464 completed April 19, 2026, 12:38 p.m.
Created at: April 8, 2026, 9:31 p.m.