Triple

T23015297
Position Surface form Disambiguated ID Type / Status
Subject Bârsana wooden church E573015 entity
Predicate locatedIn P40 FINISHED
Object Bârsana NE NERFINISHED

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: Bârsana | Statement: [Bârsana wooden church, locatedIn, Bârsana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bârsana
Context triple: [Bârsana wooden church, locatedIn, Bârsana]
  • A. Bârsana chosen
    Bârsana is a village in northern Romania renowned for its wooden monastery complex, a notable example of traditional Maramureș architecture and a UNESCO-listed heritage site.
  • B. Baiul
    Baiul is the surname of Oksana Baiul, the Ukrainian figure skater who won the 1994 Olympic ladies' singles gold medal.
  • C. Apața
    Apața is a village in Brașov County, central Romania, known for its multicultural heritage and location within the historic Țara Bârsei region.
  • D. Gundinci
    Gundinci is a small municipality and village located in eastern Croatia's Brod-Posavina County.
  • E. Berzocana
    Berzocana is a small historic village in the province of Cáceres, Extremadura, Spain, known for its rural setting and archaeological heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e4dcd48190b2b1c2ab43205e41 completed April 29, 2026, 4:07 a.m.
Created at: April 17, 2026, 3:51 p.m.