Triple

T13621902
Position Surface form Disambiguated ID Type / Status
Subject Arad E325477 entity
Predicate locatedIn P40 FINISHED
Object Crișana E163056 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: Crișana | Statement: [Arad, locatedIn, Crișana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crișana
Context triple: [Arad, locatedIn, Crișana]
  • A. Crișana chosen
    Crișana is a historical region in western Romania, known for its multicultural heritage and location between the Apuseni Mountains and the Hungarian border.
  • B. Satu Mare
    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.
  • C. Piatra-Olt
    Piatra-Olt is a small town in southern Romania known as a local railway junction and administrative center within Olt County.
  • D. Bistrița-Năsăud
    Bistrița-Năsăud is a county in northern Romania, in the historical region of Transylvania, known for its mountainous landscapes, medieval heritage, and multicultural traditions.
  • 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 (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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0b0c9008190836242da2d6a8cbe completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6fb2b708190ae6e36bfb93f8bdd completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 9:50 p.m.