Triple

T3111868
Position Surface form Disambiguated ID Type / Status
Subject Manicaland Province E64969 entity
Predicate hasTown P847 FINISHED
Object Nyazura
Nyazura is a small town in eastern Zimbabwe situated along the main road and railway linking Harare and Mutare.
 E331703 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: Nyazura | Statement: [Manicaland Province, hasTown, Nyazura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nyazura
Context triple: [Manicaland Province, hasTown, Nyazura]
  • A. Rukwa Valley
    Rukwa Valley is a region in southwestern Tanzania known for its fertile lowlands, proximity to Lake Rukwa, and as a traditional homeland of several ethnic groups including the Fipa people.
  • B. Mzuzu
    Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
  • C. Kigoma
    Kigoma is a port city in western Tanzania located on the eastern shore of Lake Tanganyika and serving as a key regional transport and trade hub.
  • D. Nkayi
    Nkayi is a rural district and its main town in western Zimbabwe, situated in Matabeleland North Province and known for its predominantly Ndebele-speaking communities and subsistence agriculture.
  • E. Nanyuki
    Nanyuki is a Kenyan town on the equator that serves as a popular gateway to Mount Kenya and the surrounding highland wilderness.
  • 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: Nyazura
Triple: [Manicaland Province, hasTown, Nyazura]
Generated description
Nyazura is a small town in eastern Zimbabwe situated along the main road and railway linking Harare and Mutare.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nyazura
Target entity description: Nyazura is a small town in eastern Zimbabwe situated along the main road and railway linking Harare and Mutare.
  • A. Rukwa Valley
    Rukwa Valley is a region in southwestern Tanzania known for its fertile lowlands, proximity to Lake Rukwa, and as a traditional homeland of several ethnic groups including the Fipa people.
  • B. Mzuzu
    Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
  • C. Kigoma
    Kigoma is a port city in western Tanzania located on the eastern shore of Lake Tanganyika and serving as a key regional transport and trade hub.
  • D. Nkayi
    Nkayi is a rural district and its main town in western Zimbabwe, situated in Matabeleland North Province and known for its predominantly Ndebele-speaking communities and subsistence agriculture.
  • E. Nanyuki
    Nanyuki is a Kenyan town on the equator that serves as a popular gateway to Mount Kenya and the surrounding highland wilderness.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43b0b3c8190a828c9cfcf730ed9 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224c9ecd481909198bb0a6c0c31e8 completed March 12, 2026, 2:28 a.m.
NEDg Description generation batch_69b2277b5af8819089da78955f88d1a5 completed March 12, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69b2280d49248190bcba38d38a7f6947 completed March 12, 2026, 2:42 a.m.
Created at: March 8, 2026, 3:04 p.m.