Triple

T20815738
Position Surface form Disambiguated ID Type / Status
Subject Zirc E512431 entity
Predicate administrativeDivision P747 FINISHED
Object Zirc District 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: Zirc District | Statement: [Zirc, administrativeDivision, Zirc District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zirc District
Context triple: [Zirc, administrativeDivision, Zirc District]
  • A. Zirc District chosen
    Zirc District is an administrative district in Veszprém County, Hungary, centered around the town of Zirc.
  • B. Shabran District
    Shabran District is an administrative region in northeastern Azerbaijan known for its historical sites and location near the Caspian Sea.
  • C. Rusafa District
    Rusafa District is a central administrative area of Baghdad, Iraq, known for encompassing key cultural and historical landmarks, including major monuments and public institutions.
  • D. Burka District
    Burka District is an administrative district in northern Afghanistan known for its mountainous terrain and location within Baghlan Province.
  • E. Bazarak District
    Bazarak District is an administrative district in northeastern Afghanistan that includes the provincial capital of Panjshir and serves as a key political and cultural center of the province.
  • 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2d5a514819093d1a18626de8857 completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:41 p.m.