Triple

T22765584
Position Surface form Disambiguated ID Type / Status
Subject Adamawa Region E563113 entity
Predicate containsCity P294 FINISHED
Object Ngaoundal
Ngaoundal is a town in Cameroon known as a local transport and mining hub within the Adamawa Region.
E1554491 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: Ngaoundal | Statement: [Adamawa Region, containsCity, Ngaoundal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngaoundal
Context triple: [Adamawa Region, containsCity, Ngaoundal]
  • A. Ambouli
    Ambouli is a district of Djibouti City that hosts the country’s main international airport and related urban infrastructure.
  • B. Duékoué
    Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
  • C. Xala
    Xala is a 1974 satirical film (and earlier novel) by Ousmane Sembène that critiques post-independence African elites through the story of a corrupt businessman afflicted with impotence.
  • D. Batouri
    Batouri is a town in eastern Cameroon that serves as an important local administrative and commercial center near the border with the Central African Republic.
  • E. Ngaoundéré
    Ngaoundéré is a major city in northern Cameroon that serves as the regional capital of Adamawa and an important commercial and transport hub between central and northern Africa.
  • 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: Ngaoundal
Triple: [Adamawa Region, containsCity, Ngaoundal]
Generated description
Ngaoundal is a town in Cameroon known as a local transport and mining hub within the Adamawa Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ngaoundal
Target entity description: Ngaoundal is a town in Cameroon known as a local transport and mining hub within the Adamawa Region.
  • A. Ambouli
    Ambouli is a district of Djibouti City that hosts the country’s main international airport and related urban infrastructure.
  • B. Duékoué
    Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
  • C. Xala
    Xala is a 1974 satirical film (and earlier novel) by Ousmane Sembène that critiques post-independence African elites through the story of a corrupt businessman afflicted with impotence.
  • D. Batouri
    Batouri is a town in eastern Cameroon that serves as an important local administrative and commercial center near the border with the Central African Republic.
  • E. Ngaoundéré
    Ngaoundéré is a major city in northern Cameroon that serves as the regional capital of Adamawa and an important commercial and transport hub between central and northern Africa.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a80249c819091569e7b8d500b45 completed April 29, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9e89ca648190809140ebf954bfb3 completed May 18, 2026, 11:19 p.m.
NEDg Description generation batch_6a0b9f2faab881908a0459059e2ef18e completed May 18, 2026, 11:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0b9fbfa2a88190b10d767dc91c84cf completed May 18, 2026, 11:24 p.m.
Created at: April 17, 2026, 3:26 p.m.