Triple

T10182094
Position Surface form Disambiguated ID Type / Status
Subject Bicske E236811 entity
Predicate isDistrictSeatOf P15001 FINISHED
Object Bicske District E930259 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: Bicske District | Statement: [Bicske, isDistrictSeatOf, Bicske District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bicske District
Context triple: [Bicske, isDistrictSeatOf, Bicske District]
  • A. Bicske District chosen
    Bicske District is an administrative district in Fejér County, Hungary, centered on the town of Bicske and comprising several surrounding settlements.
  • B. Bácsalmás District
    Bácsalmás District is an administrative district in Bács-Kiskun County in southern Hungary, comprising several towns and villages including Bácsborsód.
  • C. Miskolctapolca district
    Miskolctapolca district is a recreational area of Miskolc, Hungary, known for its natural surroundings, tourist facilities, and spa attractions.
  • D. Sátoraljaújhely District
    Sátoraljaújhely District is an administrative district in northeastern Hungary, located in Borsod-Abaúj-Zemplén County near the Slovak border.
  • E. Újszeged district
    Újszeged district is a residential and recreational area of the city of Szeged in Hungary, located on the left bank of the Tisza River.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded32b91c8190b01ad37b2456080a completed April 2, 2026, 4:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6847ad9fc819085b0d6c886488c3b completed April 20, 2026, 7:54 p.m.
Created at: March 30, 2026, 9:12 p.m.