Triple

T9703627
Position Surface form Disambiguated ID Type / Status
Subject Pest County E234839 entity
Predicate hasSettlement P1068 FINISHED
Object Dunaharaszti
Dunaharaszti is a town in central Hungary that functions largely as a suburban residential and industrial area near Budapest.
 E822376 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: Dunaharaszti | Statement: [Pest County, hasSettlement, Dunaharaszti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dunaharaszti
Context triple: [Pest County, hasSettlement, Dunaharaszti]
  • A. Bodrogköz
    Bodrogköz is a low-lying, marshy region in northeastern Hungary known for its riverine landscapes, wetlands, and traditional rural settlements.
  • B. Nagyerdő
    Nagyerdő is a large, historic forested park and recreational area in Debrecen, Hungary, known for its natural beauty and cultural attractions.
  • C. Jászberény
    Jászberény is a historic town in central Hungary known as a regional cultural and economic center of the Jászság area.
  • D. Bodrog
    Bodrog is a river in Central Europe that flows through Slovakia and Hungary before joining the Tisza River.
  • E. 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.
  • 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: Dunaharaszti
Triple: [Pest County, hasSettlement, Dunaharaszti]
Generated description
Dunaharaszti is a town in central Hungary that functions largely as a suburban residential and industrial area near Budapest.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dunaharaszti
Target entity description: Dunaharaszti is a town in central Hungary that functions largely as a suburban residential and industrial area near Budapest.
  • A. Bodrogköz
    Bodrogköz is a low-lying, marshy region in northeastern Hungary known for its riverine landscapes, wetlands, and traditional rural settlements.
  • B. Nagyerdő
    Nagyerdő is a large, historic forested park and recreational area in Debrecen, Hungary, known for its natural beauty and cultural attractions.
  • C. Jászberény
    Jászberény is a historic town in central Hungary known as a regional cultural and economic center of the Jászság area.
  • D. Bodrog
    Bodrog is a river in Central Europe that flows through Slovakia and Hungary before joining the Tisza River.
  • E. 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.
  • 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_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_69d1cc3dd210819094403fd21f3c388d completed April 5, 2026, 2:43 a.m.
NEDg Description generation batch_69d1cd137b30819089356b9fbc265d17 completed April 5, 2026, 2:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1cd8fcf488190bc72a99e81fb618b completed April 5, 2026, 2:48 a.m.
Created at: March 30, 2026, 8:18 p.m.