Triple

T5556586
Position Surface form Disambiguated ID Type / Status
Subject Weilburg E145657 entity
Predicate hasTwinTown P919 FINISHED
Object Kiszombor
Kiszombor is a village in southeastern Hungary known for its historic Romanesque rotunda church and agricultural surroundings.
E533435 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: Kiszombor | Statement: [Weilburg, hasTwinTown, Kiszombor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiszombor
Context triple: [Weilburg, hasTwinTown, Kiszombor]
  • A. Kékes
    Kékes is the highest peak in Hungary, known for its popular hiking trails and ski resort facilities.
  • B. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • C. Karesz
    Karesz is a Hungarian diminutive form of the male given name Károly.
  • D. Sárbogárd
    Sárbogárd is a small town in central Hungary known for its agricultural surroundings and role as a local transport hub within Fejér County.
  • E. Kroraina
    Kroraina was an ancient Central Asian oasis kingdom in the Tarim Basin, known from Chinese records as Shanshan and important along the Silk Road.
  • 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: Kiszombor
Triple: [Weilburg, hasTwinTown, Kiszombor]
Generated description
Kiszombor is a village in southeastern Hungary known for its historic Romanesque rotunda church and agricultural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kiszombor
Target entity description: Kiszombor is a village in southeastern Hungary known for its historic Romanesque rotunda church and agricultural surroundings.
  • A. Kékes
    Kékes is the highest peak in Hungary, known for its popular hiking trails and ski resort facilities.
  • B. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • C. Karesz
    Karesz is a Hungarian diminutive form of the male given name Károly.
  • D. Sárbogárd
    Sárbogárd is a small town in central Hungary known for its agricultural surroundings and role as a local transport hub within Fejér County.
  • E. Kroraina
    Kroraina was an ancient Central Asian oasis kingdom in the Tarim Basin, known from Chinese records as Shanshan and important along the Silk Road.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ffc5e7c81908e1c454d3bfd357b completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0283bd408819085c62caf254df339 completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c03d668fe88190a1cf88b0708b405f completed March 22, 2026, 7:05 p.m.
NED2 Entity disambiguation (via description) batch_69c03de30928819094af492af0281130 completed March 22, 2026, 7:07 p.m.
Created at: March 22, 2026, 3:36 p.m.