Triple

T15293395
Position Surface form Disambiguated ID Type / Status
Subject Saint-Sébastien-sur-Loire E365586 entity
Predicate hasTwinTown P919 FINISHED
Object Cernavodă E265133 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: Cernavodă | Statement: [Saint-Sébastien-sur-Loire, hasTwinTown, Cernavodă]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cernavodă
Context triple: [Saint-Sébastien-sur-Loire, hasTwinTown, Cernavodă]
  • A. Cernavodă chosen
    Cernavodă is a town in southeastern Romania best known for its major Danube–Black Sea Canal port and the nearby Cernavodă Nuclear Power Plant.
  • B. Comănești
    Comănești is a town in Bacău County, Romania, known for its location in the Trotuș Valley and its historical role in the region’s timber and coal industries.
  • C. Cisnădie
    Cisnădie is a small town in central Romania’s Sibiu County, known for its historic fortified church and traditional Transylvanian character.
  • D. Săpânța
    Săpânța is a village in northern Romania renowned for its colorful and humorous "Merry Cemetery," a unique open-air museum of painted wooden crosses and epitaphs.
  • E. Reșița
    Reșița is an industrial city in western Romania, historically known as a major center of steel production and engineering in the Banat region.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03682ea488190ac82fdbd0e855d34 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180bd1e5c8190a6a96581ce8a37de completed May 11, 2026, 7:09 a.m.
Created at: April 10, 2026, 3:15 a.m.