Triple

T4363702
Position Surface form Disambiguated ID Type / Status
Subject Putna Monastery E98720 entity
Predicate locatedIn P40 FINISHED
Object Suceava County E405306 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: Suceava County | Statement: [Putna Monastery, locatedIn, Suceava County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suceava County
Context triple: [Putna Monastery, locatedIn, Suceava County]
  • A. Suceava County chosen
    Suceava County is an administrative region in northeastern Romania, encompassing a large part of the historical and cultural area of Bukovina.
  • B. Argeș County
    Argeș County is an administrative region in southern Romania, known for encompassing part of the Southern Carpathians and including Romania’s highest peak, Moldoveanu.
  • C. Vâlcea County
    Vâlcea County is an administrative region in south-central Romania, known for its mountainous landscapes, spa resorts, and historical monasteries.
  • D. Iași County
    Iași County is an administrative region in northeastern Romania, known for its historic capital city of Iași and its location along the country’s border with the Republic of Moldova.
  • E. Tulcea County
    Tulcea County is an administrative region in southeastern Romania, known for encompassing much of the Danube Delta and its rich biodiversity.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351e70a748190af6f1b709a0e75e6 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbc925d881909fac944bc7ce5407 completed March 14, 2026, 10:06 p.m.
Created at: March 12, 2026, 11:16 p.m.