Triple

T17242710
Position Surface form Disambiguated ID Type / Status
Subject Nzara, Sudan E418540 entity
Predicate locatedNear P294 FINISHED
Object Yambio
Yambio is a town in southwestern South Sudan that serves as the capital of Western Equatoria State and a regional hub for trade and administration.
E1260903 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: Yambio | Statement: [Nzara, Sudan, locatedNear, Yambio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yambio
Context triple: [Nzara, Sudan, locatedNear, Yambio]
  • A. Ngoumbi
    Ngoumbi is an alternative name for the Kombe people, an ethnic group of Central Africa.
  • B. Yundum
    Yundum is a town in The Gambia known for its international airport and proximity to the capital, Banjul.
  • C. N’Guigmi
    N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
  • D. Itumbiara
    Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
  • E. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • 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: Yambio
Triple: [Nzara, Sudan, locatedNear, Yambio]
Generated description
Yambio is a town in southwestern South Sudan that serves as the capital of Western Equatoria State and a regional hub for trade and administration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yambio
Target entity description: Yambio is a town in southwestern South Sudan that serves as the capital of Western Equatoria State and a regional hub for trade and administration.
  • A. Ngoumbi
    Ngoumbi is an alternative name for the Kombe people, an ethnic group of Central Africa.
  • B. Yundum
    Yundum is a town in The Gambia known for its international airport and proximity to the capital, Banjul.
  • C. N’Guigmi
    N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
  • D. Itumbiara
    Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
  • E. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e21003c81908c884a3c8712676a completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01794102348190ba5906c011fd014b completed May 11, 2026, 6:37 a.m.
NEDg Description generation batch_6a017de741ac81908233fc39fd6aedd7 completed May 11, 2026, 6:57 a.m.
NED2 Entity disambiguation (via description) batch_6a017e4042888190b9b38a6e46981fdc completed May 11, 2026, 6:59 a.m.
Created at: April 10, 2026, 5:39 a.m.