Triple

T17091539
Position Surface form Disambiguated ID Type / Status
Subject North Hamgyong Province E414737 entity
Predicate hasMajorCity P316 FINISHED
Object Yonsa
Yonsa is a county-level town in North Hamgyong Province, North Korea, known primarily as an administrative and local economic center in the country’s northeastern region.
 E1250025 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: Yonsa | Statement: [North Hamgyong Province, hasMajorCity, Yonsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yonsa
Context triple: [North Hamgyong Province, hasMajorCity, Yonsa]
  • A. Yumbe
    Yumbe is a town in northern Uganda that serves as an important local administrative and commercial center near the border with South Sudan.
  • B. Tshikapa
    Tshikapa is a significant diamond-mining city in the Democratic Republic of the Congo, serving as an important commercial and transport hub in the Kasai region.
  • C. Sanyika
    Sanyika is a Hungarian diminutive form of the male given name Sándor, often used as an affectionate nickname.
  • D. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • E. Qunya
    Qunya is a historic town in central Anatolia, in present-day Turkey, known as the birthplace of the prominent Sufi philosopher Sadr al-Din al-Qunawi.
  • 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: Yonsa
Triple: [North Hamgyong Province, hasMajorCity, Yonsa]
Generated description
Yonsa is a county-level town in North Hamgyong Province, North Korea, known primarily as an administrative and local economic center in the country’s northeastern region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yonsa
Target entity description: Yonsa is a county-level town in North Hamgyong Province, North Korea, known primarily as an administrative and local economic center in the country’s northeastern region.
  • A. Yumbe
    Yumbe is a town in northern Uganda that serves as an important local administrative and commercial center near the border with South Sudan.
  • B. Tshikapa
    Tshikapa is a significant diamond-mining city in the Democratic Republic of the Congo, serving as an important commercial and transport hub in the Kasai region.
  • C. Sanyika
    Sanyika is a Hungarian diminutive form of the male given name Sándor, often used as an affectionate nickname.
  • D. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • E. Qunya
    Qunya is a historic town in central Anatolia, in present-day Turkey, known as the birthplace of the prominent Sufi philosopher Sadr al-Din al-Qunawi.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfa09b08190be4303dd0d174feb completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee9fd108190b12e8624bb66caf2 completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012fe2a1b081909483baef845cc2c1 completed May 11, 2026, 1:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0130c5f7388190b10a62ed1b61cce0 completed May 11, 2026, 1:28 a.m.
Created at: April 10, 2026, 5:35 a.m.