Triple

T14059805
Position Surface form Disambiguated ID Type / Status
Subject Nógrád County E338312 entity
Predicate containsSettlement P847 FINISHED
Object Balassagyarmat E957424 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: Balassagyarmat | Statement: [Nógrád County, containsSettlement, Balassagyarmat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balassagyarmat
Context triple: [Nógrád County, containsSettlement, Balassagyarmat]
  • A. Balassagyarmat chosen
    Balassagyarmat is a historic town in northern Hungary near the Slovak border, known as a regional cultural and administrative center.
  • B. Mátészalka
    Mátészalka is a town in northeastern Hungary known as a local administrative and economic center within the Northern Great Plain region.
  • C. Fehérgyarmat
    Fehérgyarmat is a small town in eastern Hungary known for its rural character and location near the Ukrainian and Romanian borders.
  • D. Balvanyos
    Balvanyos is a Romanian mountain resort area known for its natural mineral springs, spa facilities, and scenic surroundings in the Eastern Carpathians.
  • E. 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.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5686f51c81908c33143ecbaae83d completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b38823881909c9df93371782b47 completed May 8, 2026, 11:01 p.m.
Created at: April 9, 2026, 10:21 p.m.