Triple

T7434772
Position Surface form Disambiguated ID Type / Status
Subject Gyor-Moson-Sopron County E171584 entity
Predicate hasCity P316 FINISHED
Object Kapuvár
Kapuvár is a small historic town in northwestern Hungary known for its thermal baths and proximity to the Fertő–Hanság National Park.
 E663580 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: Kapuvár | Statement: [Gyor-Moson-Sopron County, hasCity, Kapuvár]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kapuvár
Context triple: [Gyor-Moson-Sopron County, hasCity, Kapuvár]
  • A. Kapit
    Kapit is a remote riverside town and administrative center in Sarawak, Malaysia, known historically as a trading post accessible mainly by boat along the Rajang River.
  • B. Karavola
    Karavola is the summit that forms the highest peak of Mount Parnitha in Greece.
  • C. Dar Pomorza
    Dar Pomorza is a historic Polish sailing frigate, now preserved as a museum ship and popular tourist attraction in Gdynia.
  • D. Turuvekere
    Turuvekere is a town in the Tumakuru district of Karnataka, India, known for its historic Hoysala-era temples and rural surroundings.
  • E. Körkarlen
    Körkarlen is a 1912 novel by Swedish author Selma Lagerlöf that blends supernatural elements with moral and social themes, famously inspiring Victor Sjöström’s classic 1921 silent film adaptation "The Phantom Carriage."
  • 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: Kapuvár
Triple: [Gyor-Moson-Sopron County, hasCity, Kapuvár]
Generated description
Kapuvár is a small historic town in northwestern Hungary known for its thermal baths and proximity to the Fertő–Hanság National Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kapuvár
Target entity description: Kapuvár is a small historic town in northwestern Hungary known for its thermal baths and proximity to the Fertő–Hanság National Park.
  • A. Kapit
    Kapit is a remote riverside town and administrative center in Sarawak, Malaysia, known historically as a trading post accessible mainly by boat along the Rajang River.
  • B. Karavola
    Karavola is the summit that forms the highest peak of Mount Parnitha in Greece.
  • C. Dar Pomorza
    Dar Pomorza is a historic Polish sailing frigate, now preserved as a museum ship and popular tourist attraction in Gdynia.
  • D. Turuvekere
    Turuvekere is a town in the Tumakuru district of Karnataka, India, known for its historic Hoysala-era temples and rural surroundings.
  • E. Körkarlen
    Körkarlen is a 1912 novel by Swedish author Selma Lagerlöf that blends supernatural elements with moral and social themes, famously inspiring Victor Sjöström’s classic 1921 silent film adaptation "The Phantom Carriage."
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f328cf6081908bea065639fd3620 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f1d8af48190af856b5e2438781d completed March 28, 2026, 6:34 p.m.
NEDg Description generation batch_69c82076aa1481909898fd89a87d5214 completed March 28, 2026, 6:39 p.m.
NED2 Entity disambiguation (via description) batch_69c821f557e08190b39d15c7c7639408 completed March 28, 2026, 6:46 p.m.
Created at: March 27, 2026, 3:13 p.m.