Triple

T20846335
Position Surface form Disambiguated ID Type / Status
Subject Ajka District E513234 entity
Predicate containsSettlement P847 FINISHED
Object Kolontár
Kolontár is a small village in Veszprém County in western Hungary, known for being affected by the 2010 Ajka alumina plant red sludge disaster.
E1453427 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: Kolontár | Statement: [Ajka District, containsSettlement, Kolontár]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kolontár
Context triple: [Ajka District, containsSettlement, Kolontár]
  • A. Kolozsvar
    Kolozsvár is the Hungarian name for Cluj-Napoca, a major cultural, academic, and economic center in northwestern Romania and the historical capital of Transylvania.
  • B. Koltai
    Koltai is a Hungarian surname most notably associated with acclaimed cinematographer and film director Lajos Koltai.
  • C. Hajdúnánás
    Hajdúnánás is a town in eastern Hungary known for its agricultural surroundings, thermal baths, and location within the Northern Great Plain region.
  • D. Csokas
    Csokas is the surname of Marton Csokas, a New Zealand actor known for roles in films such as "The Lord of the Rings" and "Kingdom of Heaven."
  • E. Zólyom
    Zólyom is the historical Hungarian name for the Slovak town of Zvolen, an important medieval center in central Slovakia.
  • 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: Kolontár
Triple: [Ajka District, containsSettlement, Kolontár]
Generated description
Kolontár is a small village in Veszprém County in western Hungary, known for being affected by the 2010 Ajka alumina plant red sludge disaster.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kolontár
Target entity description: Kolontár is a small village in Veszprém County in western Hungary, known for being affected by the 2010 Ajka alumina plant red sludge disaster.
  • A. Kolozsvar
    Kolozsvár is the Hungarian name for Cluj-Napoca, a major cultural, academic, and economic center in northwestern Romania and the historical capital of Transylvania.
  • B. Koltai
    Koltai is a Hungarian surname most notably associated with acclaimed cinematographer and film director Lajos Koltai.
  • C. Hajdúnánás
    Hajdúnánás is a town in eastern Hungary known for its agricultural surroundings, thermal baths, and location within the Northern Great Plain region.
  • D. Csokas
    Csokas is the surname of Marton Csokas, a New Zealand actor known for roles in films such as "The Lord of the Rings" and "Kingdom of Heaven."
  • E. Zólyom
    Zólyom is the historical Hungarian name for the Slovak town of Zvolen, an important medieval center in central Slovakia.
  • 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_69e0b4f4898081908209e58edb8f9c45 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c34ffb588190881953a0480b29a8 completed April 21, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090b03b5588190a98681307f32946f completed May 17, 2026, 12:25 a.m.
NEDg Description generation batch_6a090b872f58819087803faf1293f1b7 completed May 17, 2026, 12:27 a.m.
NED2 Entity disambiguation (via description) batch_6a090c57aef48190978b5fe94dd4feab completed May 17, 2026, 12:31 a.m.
Created at: April 16, 2026, 12:43 p.m.