Triple

T19790598
Position Surface form Disambiguated ID Type / Status
Subject Ilala District E475398 entity
Predicate contains P35 FINISHED
Object Gerezani Ward
Gerezani Ward is an administrative ward located in the Ilala District of Dar es Salaam, Tanzania.
E1396346 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: Gerezani Ward | Statement: [Ilala District, contains, Gerezani Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerezani Ward
Context triple: [Ilala District, contains, Gerezani Ward]
  • A. Guang Gonja
    Guang Gonja is an alternate name for the Gonja language, a Guang language spoken primarily in northern Ghana.
  • B. Ozinga
    Ozinga is a Dutch surname most notably associated with individuals such as Sjoukje Ozinga.
  • C. Guereda
    Guereda is a town in eastern Chad that serves as an administrative and market center in the Wadi Fira region.
  • D. Dorla Gondi
    Dorla Gondi is a regional dialect of the Gondi language spoken by the Dorla subgroup of the Gondi people in central India.
  • E. Dagoretti
    Dagoretti is a residential and commercial area in western Nairobi known for its mixed urban-rural character and vibrant local markets.
  • 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: Gerezani Ward
Triple: [Ilala District, contains, Gerezani Ward]
Generated description
Gerezani Ward is an administrative ward located in the Ilala District of Dar es Salaam, Tanzania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gerezani Ward
Target entity description: Gerezani Ward is an administrative ward located in the Ilala District of Dar es Salaam, Tanzania.
  • A. Guang Gonja
    Guang Gonja is an alternate name for the Gonja language, a Guang language spoken primarily in northern Ghana.
  • B. Ozinga
    Ozinga is a Dutch surname most notably associated with individuals such as Sjoukje Ozinga.
  • C. Guereda
    Guereda is a town in eastern Chad that serves as an administrative and market center in the Wadi Fira region.
  • D. Dorla Gondi
    Dorla Gondi is a regional dialect of the Gondi language spoken by the Dorla subgroup of the Gondi people in central India.
  • E. Dagoretti
    Dagoretti is a residential and commercial area in western Nairobi known for its mixed urban-rural character and vibrant local markets.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c217bc819092c517b27ca22087 completed April 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07c4fdbf4c8190a9177e87b65fc965 completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c90c07a48190b0f23597124b5017 completed May 16, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_6a07c97b33b481909e9b45b37cfe87b3 completed May 16, 2026, 1:33 a.m.
Created at: April 10, 2026, 1:49 p.m.