Triple

T14059738
Position Surface form Disambiguated ID Type / Status
Subject Heves County E338311 entity
Predicate contains P35 FINISHED
Object Kisköre
Kisköre is a small Hungarian town on the Tisza River known for its hydroelectric dam and role in regional water management and recreation.
 E1078685 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: Kisköre | Statement: [Heves County, contains, Kisköre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kisköre
Context triple: [Heves County, contains, Kisköre]
  • A. Kispogoi
    Kispogoi is an alternative name for the Kispoko, a historical division or clan of the Shawnee people in North America.
  • B. 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."
  • C. Kis-Küküllő
    Kis-Küküllő is the Hungarian name for the Târnava Mică River, a tributary of the Târnava Mare in central Romania’s Transylvanian region.
  • D. Kiszombor
    Kiszombor is a village in southeastern Hungary known for its historic Romanesque rotunda church and agricultural surroundings.
  • E. Tótkomlós
    Tótkomlós is a small town in southeastern Hungary known for its agricultural surroundings and traditional rural character.
  • 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: Kisköre
Triple: [Heves County, contains, Kisköre]
Generated description
Kisköre is a small Hungarian town on the Tisza River known for its hydroelectric dam and role in regional water management and recreation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kisköre
Target entity description: Kisköre is a small Hungarian town on the Tisza River known for its hydroelectric dam and role in regional water management and recreation.
  • A. Kispogoi
    Kispogoi is an alternative name for the Kispoko, a historical division or clan of the Shawnee people in North America.
  • B. 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."
  • C. Kis-Küküllő
    Kis-Küküllő is the Hungarian name for the Târnava Mică River, a tributary of the Târnava Mare in central Romania’s Transylvanian region.
  • D. Kiszombor
    Kiszombor is a village in southeastern Hungary known for its historic Romanesque rotunda church and agricultural surroundings.
  • E. Tótkomlós
    Tótkomlós is a small town in southeastern Hungary known for its agricultural surroundings and traditional rural character.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5686f51c81908c33143ecbaae83d completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb662c37c8190a629278a97060080 completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc99fca8c8190bbcafba5bacfdfda completed May 7, 2026, 5:19 p.m.
NED2 Entity disambiguation (via description) batch_69fcca3a375c819092b3f67612d2ec0c completed May 7, 2026, 5:22 p.m.
Created at: April 9, 2026, 10:21 p.m.