Triple

T14618529
Position Surface form Disambiguated ID Type / Status
Subject Western Moldavia E343152 entity
Predicate containsCity P294 FINISHED
Object Onești E246203 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: Onești | Statement: [Western Moldavia, containsCity, Onești]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Onești
Context triple: [Western Moldavia, containsCity, Onești]
  • A. Onești chosen
    Onești is a town in Bacău County, Romania, best known internationally as the birthplace of legendary gymnast Nadia Comăneci.
  • B. Reșița
    Reșița is an industrial city in western Romania, historically known as a major center of steel production and engineering in the Banat region.
  • C. Oltenița
    Oltenița is a town in southern Romania on the banks of the Danube River, historically noted as the site of the Battle of Oltenitza during the Crimean War.
  • D. Cernavodă
    Cernavodă is a town in southeastern Romania best known for its major Danube–Black Sea Canal port and the nearby Cernavodă Nuclear Power Plant.
  • E. Cisnădie
    Cisnădie is a small town in central Romania’s Sibiu County, known for its historic fortified church and traditional Transylvanian character.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46550e48190af45f426f02579bb completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0763ca081909fa8bcbdc46f2fac completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:25 a.m.