Triple

T9703626
Position Surface form Disambiguated ID Type / Status
Subject Pest County E234839 entity
Predicate hasSettlement P1068 FINISHED
Object Szigetszentmiklós E702636 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: Szigetszentmiklós | Statement: [Pest County, hasSettlement, Szigetszentmiklós]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Szigetszentmiklós
Context triple: [Pest County, hasSettlement, Szigetszentmiklós]
  • A. Szigetszentmiklós, Hungary chosen
    Szigetszentmiklós is a town in central Hungary located just south of Budapest on Csepel Island, known as a growing suburban and industrial area within the Budapest metropolitan region.
  • B. Törökszentmiklós
    Törökszentmiklós is a town in central-eastern Hungary known for its agricultural surroundings and location within the Great Hungarian Plain.
  • C. Mátészalka
    Mátészalka is a town in northeastern Hungary known as a local administrative and economic center within the Northern Great Plain region.
  • D. Tihany
    Tihany is a historic village on the northern shore of Lake Balaton in Hungary, renowned for its Benedictine abbey, scenic peninsula, and traditional architecture.
  • E. Keszthely
    Keszthely is a historic town in western Hungary known for its lakeside resort atmosphere, cultural heritage, and proximity to Lake Balaton.
  • 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d73a0148190ad4178fd462cdd9c completed April 1, 2026, 10:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2284e9d0c8190ab09ad1fd0a123e3 completed April 5, 2026, 9:15 a.m.
Created at: March 30, 2026, 8:18 p.m.