Triple

T4837679
Position Surface form Disambiguated ID Type / Status
Subject Dar es Salaam E108100 entity
Predicate hasDistrict P459 FINISHED
Object Ilala
Ilala is a central administrative district of Dar es Salaam in Tanzania, encompassing key commercial, residential, and transport hubs of the city.
 E475398 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: Ilala | Statement: [Dar es Salaam, hasDistrict, Ilala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ilala
Context triple: [Dar es Salaam, hasDistrict, Ilala]
  • A. Biloela
    Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
  • B. Lemi
    Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
  • C. Manfalut
    Manfalut is a city in Upper Egypt known as an agricultural and commercial center within the Asyut region along the Nile.
  • D. Ovilava
    Ovilava was a major Roman-era city in the province of Noricum, located at the site of modern Wels in present-day Austria.
  • E. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • 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: Ilala
Triple: [Dar es Salaam, hasDistrict, Ilala]
Generated description
Ilala is a central administrative district of Dar es Salaam in Tanzania, encompassing key commercial, residential, and transport hubs of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ilala
Target entity description: Ilala is a central administrative district of Dar es Salaam in Tanzania, encompassing key commercial, residential, and transport hubs of the city.
  • A. Biloela
    Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
  • B. Lemi
    Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
  • C. Manfalut
    Manfalut is a city in Upper Egypt known as an agricultural and commercial center within the Asyut region along the Nile.
  • D. Ovilava
    Ovilava was a major Roman-era city in the province of Noricum, located at the site of modern Wels in present-day Austria.
  • E. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ce2e810819089f9a3f2a7574d44 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cc054ac819099d6d3dbf415e710 completed March 21, 2026, 8:54 a.m.
NEDg Description generation batch_69be60d4fa0c8190b6d197eb3dbafff7 completed March 21, 2026, 9:11 a.m.
NED2 Entity disambiguation (via description) batch_69be61789d388190bc23d7f44cee2e5d completed March 21, 2026, 9:14 a.m.
Created at: March 20, 2026, 1:25 p.m.