Triple

T15490065
Position Surface form Disambiguated ID Type / Status
Subject Pool Department E378657 entity
Predicate containsTown P847 FINISHED
Object Vindza
Vindza is a small town located within the Pool Department of the Republic of the Congo.
E1160238 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: Vindza | Statement: [Pool Department, containsTown, Vindza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vindza
Context triple: [Pool Department, containsTown, Vindza]
  • A. Zvimba
    Zvimba is a town in northern Zimbabwe located within Mashonaland West Province, known primarily as a rural administrative and farming center.
  • B. Sinazongwe
    Sinazongwe is a lakeside town in southern Zambia situated on the shores of Lake Kariba, known primarily for fishing and agriculture.
  • C. Vhavenda
    Vhavenda are a Bantu-speaking ethnic group primarily inhabiting the northern part of South Africa’s Limpopo Province, known for their rich cultural traditions, distinctive music and dance, and historical Venda kingdom.
  • D. Luanshya
    Luanshya is a mining town in Zambia known for its copper production and role in the country’s Copperbelt region.
  • E. Chipinga
    Chipinga is the former name of Chipinge, a town in southeastern Zimbabwe known for its agriculture and proximity to the Mozambique border.
  • 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: Vindza
Triple: [Pool Department, containsTown, Vindza]
Generated description
Vindza is a small town located within the Pool Department of the Republic of the Congo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vindza
Target entity description: Vindza is a small town located within the Pool Department of the Republic of the Congo.
  • A. Zvimba
    Zvimba is a town in northern Zimbabwe located within Mashonaland West Province, known primarily as a rural administrative and farming center.
  • B. Sinazongwe
    Sinazongwe is a lakeside town in southern Zambia situated on the shores of Lake Kariba, known primarily for fishing and agriculture.
  • C. Vhavenda
    Vhavenda are a Bantu-speaking ethnic group primarily inhabiting the northern part of South Africa’s Limpopo Province, known for their rich cultural traditions, distinctive music and dance, and historical Venda kingdom.
  • D. Luanshya
    Luanshya is a mining town in Zambia known for its copper production and role in the country’s Copperbelt region.
  • E. Chipinga
    Chipinga is the former name of Chipinge, a town in southeastern Zimbabwe known for its agriculture and proximity to the Mozambique border.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fac2af88190ac1d119e6b21dbe0 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365f27c48190822254b6da504d3d completed May 9, 2026, 1:27 p.m.
NEDg Description generation batch_69ff375856448190a61979dfff751f06 completed May 9, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69ff3830f0148190846bd24db1e0d754 completed May 9, 2026, 1:35 p.m.
Created at: April 10, 2026, 3:48 a.m.