Triple

T9685875
Position Surface form Disambiguated ID Type / Status
Subject Northern Great Plain E234405 entity
Predicate containsCity P294 FINISHED
Object Tiszaföldvár
Tiszaföldvár is a small town in eastern Hungary known for its agricultural surroundings and location near the Tisza River.
E847849 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: Tiszaföldvár | Statement: [Northern Great Plain, containsCity, Tiszaföldvár]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiszaföldvár
Context triple: [Northern Great Plain, containsCity, Tiszaföldvár]
  • A. Pécsvárad
    Pécsvárad is a small historic town in southern Hungary known for its medieval abbey and scenic setting near the Mecsek Mountains.
  • B. 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.
  • C. Törökbálint
    Törökbálint is a town in Pest County, Hungary, located just southwest of Budapest and known as a suburban residential area with growing commercial and industrial zones.
  • D. Csákvár
    Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
  • E. Várpalota
    Várpalota is a town in western Hungary known for its historical castle and industrial heritage.
  • 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: Tiszaföldvár
Triple: [Northern Great Plain, containsCity, Tiszaföldvár]
Generated description
Tiszaföldvár is a small town in eastern Hungary known for its agricultural surroundings and location near the Tisza River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tiszaföldvár
Target entity description: Tiszaföldvár is a small town in eastern Hungary known for its agricultural surroundings and location near the Tisza River.
  • A. Pécsvárad
    Pécsvárad is a small historic town in southern Hungary known for its medieval abbey and scenic setting near the Mecsek Mountains.
  • B. 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.
  • C. Törökbálint
    Törökbálint is a town in Pest County, Hungary, located just southwest of Budapest and known as a suburban residential area with growing commercial and industrial zones.
  • D. Csákvár
    Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
  • E. Várpalota
    Várpalota is a town in western Hungary known for its historical castle and industrial heritage.
  • 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_69d32a3c9c6881908757c63a0ccdc54e completed April 6, 2026, 3:36 a.m.
NEDg Description generation batch_69d32b4030d0819092f13e894dbaa2e7 completed April 6, 2026, 3:40 a.m.
NED2 Entity disambiguation (via description) batch_69d32b97b5a081908c6e1a6485e37816 completed April 6, 2026, 3:42 a.m.
Created at: March 30, 2026, 8:16 p.m.