Triple

T21385469
Position Surface form Disambiguated ID Type / Status
Subject Mielec E527482 entity
Predicate hasTwinTown P919 FINISHED
Object Tiszaföldvár 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: Tiszaföldvár | Statement: [Mielec, hasTwinTown, Tiszaföldvár]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiszaföldvár
Context triple: [Mielec, hasTwinTown, Tiszaföldvár]
  • A. Tiszaföldvár chosen
    Tiszaföldvár is a small town in eastern Hungary known for its agricultural surroundings and location near the Tisza River.
  • B. Pécsvárad
    Pécsvárad is a small historic town in southern Hungary known for its medieval abbey and scenic setting near the Mecsek Mountains.
  • C. Szilvásvárad
    Szilvásvárad is a village in northern Hungary known for its scenic Bükk Mountains setting, popular hiking trails, and the Szalajka Valley tourist area.
  • D. Gyulafehérvár
    Gyulafehérvár, known today as Alba Iulia in Romania, is a historic city that served as the political and cultural center of Transylvania for centuries.
  • E. Törökbálint
    Törökbálint is a town in Pest County, Hungary, located just southwest of Budapest and known as a suburban residential area with growing commercial and industrial zones.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62c9494081909efa74e189454dc6 completed April 26, 2026, 7:08 p.m.
Created at: April 16, 2026, 5:12 p.m.