Triple

T19790615
Position Surface form Disambiguated ID Type / Status
Subject Ilala District E475398 entity
Predicate contains P35 FINISHED
Object Majohe Ward
Majohe Ward is an administrative ward within Dar es Salaam, Tanzania, known as a residential and semi-urban area of Ilala District.
 E1398505 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: Majohe Ward | Statement: [Ilala District, contains, Majohe Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Majohe Ward
Context triple: [Ilala District, contains, Majohe Ward]
  • A. Kaiapoi Ward
    Kaiapoi Ward is an electoral subdivision within New Zealand’s Waimakariri District, centered on the town of Kaiapoi and its surrounding communities.
  • B. Naka Ward
    Naka Ward is a central administrative district in several Japanese cities, typically known for its historic sites, commercial areas, and cultural landmarks.
  • C. Aoi Ward
    Aoi Ward is a central administrative district of Shizuoka City in Japan, known for encompassing the city’s downtown and governmental areas.
  • D. Taitō ward
    Taitō ward is a central Tokyo district known for its historic neighborhoods, traditional temples, and popular tourist areas such as Asakusa and Ueno.
  • E. Koto Ward
    Koto Ward is a special ward in eastern Tokyo, Japan, known for its waterfront areas, canals, and mix of residential, commercial, and industrial districts.
  • 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: Majohe Ward
Triple: [Ilala District, contains, Majohe Ward]
Generated description
Majohe Ward is an administrative ward within Dar es Salaam, Tanzania, known as a residential and semi-urban area of Ilala District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Majohe Ward
Target entity description: Majohe Ward is an administrative ward within Dar es Salaam, Tanzania, known as a residential and semi-urban area of Ilala District.
  • A. Kaiapoi Ward
    Kaiapoi Ward is an electoral subdivision within New Zealand’s Waimakariri District, centered on the town of Kaiapoi and its surrounding communities.
  • B. Naka Ward
    Naka Ward is a central administrative district in several Japanese cities, typically known for its historic sites, commercial areas, and cultural landmarks.
  • C. Aoi Ward
    Aoi Ward is a central administrative district of Shizuoka City in Japan, known for encompassing the city’s downtown and governmental areas.
  • D. Taitō ward
    Taitō ward is a central Tokyo district known for its historic neighborhoods, traditional temples, and popular tourist areas such as Asakusa and Ueno.
  • E. Koto Ward
    Koto Ward is a special ward in eastern Tokyo, Japan, known for its waterfront areas, canals, and mix of residential, commercial, and industrial districts.
  • 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_6a07d42c1a0481909a505a37aa92ad5e completed May 16, 2026, 2:19 a.m.
NEDg Description generation batch_6a07d4e943b081909f98c72683d62e62 completed May 16, 2026, 2:22 a.m.
NED2 Entity disambiguation (via description) batch_6a07d5bc8e748190a4f97e6b23e56edd completed May 16, 2026, 2:26 a.m.
Created at: April 10, 2026, 1:49 p.m.