Triple

T14391073
Position Surface form Disambiguated ID Type / Status
Subject Székelys E356842 entity
Predicate associatedRegion P285 FINISHED
Object Harghita County E265136 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: Harghita County | Statement: [Székelys, associatedRegion, Harghita County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harghita County
Context triple: [Székelys, associatedRegion, Harghita County]
  • A. Harghita County chosen
    Harghita County is an administrative region in central Romania, known for its mountainous landscapes, mineral springs, and significant ethnic Hungarian (Székely) population.
  • B. Bihor County
    Bihor County is an administrative region in northwestern Romania, known for its capital city Oradea and its rich cultural and architectural heritage.
  • C. Turóc County
    Turóc County was a historic administrative county of the Kingdom of Hungary, located in what is today central Slovakia.
  • D. Băile Harghita
    Băile Harghita is a small Romanian spa and ski resort town in the Eastern Carpathians, known for its mineral springs and winter sports facilities.
  • E. 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.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902b9acc8190817ffa848a76a880 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe249ebd3c81908d8b562845d9ceb1 completed May 8, 2026, 5:59 p.m.
Created at: April 10, 2026, 1:16 a.m.