Triple

T20354401
Position Surface form Disambiguated ID Type / Status
Subject Southern Tanzania E496103 entity
Predicate hasCity P316 FINISHED
Object Songea
Songea is a major town in southern Tanzania that serves as an important regional administrative and commercial center.
 E1426603 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: Songea | Statement: [Southern Tanzania, hasCity, Songea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Songea
Context triple: [Southern Tanzania, hasCity, Songea]
  • A. Tambolaka
    Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
  • B. Sofifi
    Sofifi is a small coastal town on Halmahera Island in eastern Indonesia that serves as the administrative center of North Maluku Province.
  • C. Gbarnga
    Gbarnga is a city in central Liberia that gained prominence as a stronghold and de facto capital for rebel forces during the First Liberian Civil War.
  • D. Mangbetu
    The Mangbetu are a Central African ethnic group in northeastern Democratic Republic of the Congo, renowned for their distinctive art, music, and historically for their tradition of skull elongation.
  • E. Maradan
    Maradan was a French publishing house active in the late 18th and early 19th centuries, known for issuing literary, historical, and political works during and after the French Revolution.
  • 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: Songea
Triple: [Southern Tanzania, hasCity, Songea]
Generated description
Songea is a major town in southern Tanzania that serves as an important regional administrative and commercial center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Songea
Target entity description: Songea is a major town in southern Tanzania that serves as an important regional administrative and commercial center.
  • A. Tambolaka
    Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
  • B. Sofifi
    Sofifi is a small coastal town on Halmahera Island in eastern Indonesia that serves as the administrative center of North Maluku Province.
  • C. Gbarnga
    Gbarnga is a city in central Liberia that gained prominence as a stronghold and de facto capital for rebel forces during the First Liberian Civil War.
  • D. Mangbetu
    The Mangbetu are a Central African ethnic group in northeastern Democratic Republic of the Congo, renowned for their distinctive art, music, and historically for their tradition of skull elongation.
  • E. Maradan
    Maradan was a French publishing house active in the late 18th and early 19th centuries, known for issuing literary, historical, and political works during and after the French Revolution.
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67852ca9881908a5af18005639859 completed April 20, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08707f76608190b9d771cf52b9e90b completed May 16, 2026, 1:26 p.m.
NEDg Description generation batch_6a087157b1a08190af04a27f3a0d9de5 completed May 16, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_6a0871f3a0908190b1f50413ca287367 completed May 16, 2026, 1:32 p.m.
Created at: April 16, 2026, 11:25 a.m.