Triple

T15099994
Position Surface form Disambiguated ID Type / Status
Subject Sajó River E360637 entity
Predicate near P350 FINISHED
Object Kazincbarcika
Kazincbarcika is an industrial town in northeastern Hungary, located in Borsod-Abaúj-Zemplén County.
 E1201489 NE FINISHED

How this triple was built (4 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: Kazincbarcika | Statement: [Sajó River, near, Kazincbarcika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kazincbarcika
Context triple: [Sajó River, near, Kazincbarcika]
  • A. Dunakeszi
    Dunakeszi is a town in Hungary located just north of Budapest, known as a rapidly growing suburban and commuter settlement along the Danube in Pest County.
  • B. Budakeszi
    Budakeszi is a small town in Hungary, located just west of Budapest and known for its surrounding forests and natural recreational areas.
  • C. Egerszalók
    Egerszalók is a Hungarian village famous for its thermal springs and striking terraced salt hill spa complex.
  • D. Harkány
    Harkány is a Hungarian spa town in southern Transdanubia renowned for its medicinal thermal baths and health tourism.
  • E. Hajdúdorog
    Hajdúdorog is a town in northeastern Hungary known as a center of the Hungarian Greek Catholic Church.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kazincbarcika
Triple: [Sajó River, near, Kazincbarcika]
Generated description
Kazincbarcika is an industrial town in northeastern Hungary, located in Borsod-Abaúj-Zemplén County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kazincbarcika
Target entity description: Kazincbarcika is an industrial town in northeastern Hungary, located in Borsod-Abaúj-Zemplén County.
  • A. Dunakeszi
    Dunakeszi is a town in Hungary located just north of Budapest, known as a rapidly growing suburban and commuter settlement along the Danube in Pest County.
  • B. Budakeszi
    Budakeszi is a small town in Hungary, located just west of Budapest and known for its surrounding forests and natural recreational areas.
  • C. Egerszalók
    Egerszalók is a Hungarian village famous for its thermal springs and striking terraced salt hill spa complex.
  • D. Harkány
    Harkány is a Hungarian spa town in southern Transdanubia renowned for its medicinal thermal baths and health tourism.
  • E. Hajdúdorog
    Hajdúdorog is a town in northeastern Hungary known as a center of the Hungarian Greek Catholic Church.
  • F. None of above. chosen

Provenance (5 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00550007481909e02ee1d597a4d37 completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007757ed48190813f6ab839240a15 completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a000bd836f081909ee477fd311c3295 completed May 10, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_6a000c33963c8190a00271fb732c5b50 completed May 10, 2026, 4:40 a.m.
Created at: April 10, 2026, 3:04 a.m.