Triple

T9685860
Position Surface form Disambiguated ID Type / Status
Subject Northern Great Plain E234405 entity
Predicate containsCity P294 FINISHED
Object Tiszafüred
Tiszafüred is a Hungarian town on the shores of Lake Tisza, known as a regional tourism and recreation center in the Northern Great Plain.
 E818395 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: Tiszafüred | Statement: [Northern Great Plain, containsCity, Tiszafüred]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tiszafüred
Context triple: [Northern Great Plain, containsCity, Tiszafüred]
  • A. Bodrogköz
    Bodrogköz is a low-lying, marshy region in northeastern Hungary known for its riverine landscapes, wetlands, and traditional rural settlements.
  • B. Sajó
    Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
  • C. Tiszaújváros
    Tiszaújváros is an industrial town in northeastern Hungary known for its large chemical and energy industries and its location along the Tisza River.
  • D. Jászberény
    Jászberény is a historic town in central Hungary known as a regional cultural and economic center of the Jászság area.
  • 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: Tiszafüred
Triple: [Northern Great Plain, containsCity, Tiszafüred]
Generated description
Tiszafüred is a Hungarian town on the shores of Lake Tisza, known as a regional tourism and recreation center in the Northern Great Plain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tiszafüred
Target entity description: Tiszafüred is a Hungarian town on the shores of Lake Tisza, known as a regional tourism and recreation center in the Northern Great Plain.
  • A. Bodrogköz
    Bodrogköz is a low-lying, marshy region in northeastern Hungary known for its riverine landscapes, wetlands, and traditional rural settlements.
  • B. Sajó
    Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
  • C. Tiszaújváros
    Tiszaújváros is an industrial town in northeastern Hungary known for its large chemical and energy industries and its location along the Tisza River.
  • D. Jászberény
    Jászberény is a historic town in central Hungary known as a regional cultural and economic center of the Jászság area.
  • 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9cd2dab481908e0d3fed28de9d40 completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1af80358881909cdd91f2aed33ef6 completed April 5, 2026, 12:40 a.m.
NEDg Description generation batch_69d1b06d39b48190adaadbc81b4ffb9a completed April 5, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69d1b1511c7c8190ba7bc691ab2d3a13 completed April 5, 2026, 12:48 a.m.
Created at: March 30, 2026, 8:16 p.m.