Triple

T21329441
Position Surface form Disambiguated ID Type / Status
Subject Szatmárnémeti E525857 entity
Predicate locatedIn P40 FINISHED
Object Satu Mare County 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 County | Statement: [Szatmárnémeti, locatedIn, Satu Mare County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satu Mare County
Context triple: [Szatmárnémeti, locatedIn, Satu Mare County]
  • A. Satu Mare County chosen
    Satu Mare County is an administrative region in northwestern Romania, bordering Hungary and Ukraine, with Satu Mare city as its capital.
  • B. Hunedoara County
    Hunedoara County is an administrative region in western-central Romania, known for its historical sites, industrial heritage, and diverse natural landscapes in the Carpathian Mountains.
  • C. Maramureș County
    Maramureș County is an administrative region in northern Romania, known for its well-preserved rural traditions, wooden churches, and mountainous landscapes.
  • D. Neamț County
    Neamț County is an administrative region in northeastern Romania, known for its mountainous landscapes, monasteries, and rich cultural and historical heritage.
  • E. Mureș County
    Mureș County is an administrative region in central Romania, known for its multicultural population, historic cities like Târgu Mureș, and its location in the heart of Transylvania.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab4f95fc819087eb32dca7da689a completed April 21, 2026, 4:52 p.m.
Created at: April 16, 2026, 4:42 p.m.