Triple

T22860969
Position Surface form Disambiguated ID Type / Status
Subject Moldavia E566917 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Oltenia 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: Oltenia | Statement: [Moldavia, hasEthnicGroup, Oltenia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oltenia
Context triple: [Moldavia, hasEthnicGroup, Oltenia]
  • A. Oltenia chosen
    Oltenia is a historical region in southwestern Romania, west of the Olt River, known as the western part of the former principality of Wallachia.
  • B. Crișana
    Crișana is a historical region in western Romania, known for its multicultural heritage and location between the Apuseni Mountains and the Hungarian border.
  • C. Maramureș region
    The Maramureș region is a historic area in northern Romania renowned for its well-preserved rural traditions, wooden churches, and distinctive folk culture.
  • D. Piatra-Olt
    Piatra-Olt is a small town in southern Romania known as a local railway junction and administrative center within Olt County.
  • E. Covasna
    Covasna is a spa town in central Romania, renowned for its mineral springs and cardiovascular treatment facilities.
  • 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17efcc1308190a95d10e431295ca2 completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:37 p.m.