Triple

T20821383
Position Surface form Disambiguated ID Type / Status
Subject Satu Mare County E512579 entity
Predicate hasCountyCouncilSeat P27090 FINISHED
Object Satu Mare 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: Satu Mare | Statement: [Satu Mare County, hasCountyCouncilSeat, Satu Mare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satu Mare
Context triple: [Satu Mare County, hasCountyCouncilSeat, Satu Mare]
  • A. Satu Mare chosen
    Satu Mare is a city in northwestern Romania near the Hungarian border, known as a regional economic and cultural center with a diverse ethnic heritage.
  • B. Caransebeș
    Caransebeș is a historic town in western Romania, situated in the Banat region and known as an important local cultural and transportation hub.
  • C. Argeș
    Argeș is a county in southern Romania known for its historical significance, including Curtea de Argeș Monastery and parts of the Carpathian Mountains.
  • D. Crișana
    Crișana is a historical region in western Romania, known for its multicultural heritage and location between the Apuseni Mountains and the Hungarian border.
  • E. Piatra Neamț
    Piatra Neamț is a historic city in northeastern Romania, known for its picturesque setting in the Carpathian foothills and rich cultural 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f7a1548190b6ef3f1cfad37c1c completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.