Triple

T22883851
Position Surface form Disambiguated ID Type / Status
Subject Ménoua E567548 entity
Predicate hasMunicipality P847 FINISHED
Object Fongo-Tongo
Fongo-Tongo is a rural municipality in western Cameroon known for its traditional Bamileke culture and scenic highland landscapes.
E1558965 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: Fongo-Tongo | Statement: [Ménoua, hasMunicipality, Fongo-Tongo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fongo-Tongo
Context triple: [Ménoua, hasMunicipality, Fongo-Tongo]
  • A. Tongaat
    Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
  • B. Matawai
    The Matawai are a Maroon community in Suriname descended from escaped African slaves, known for their distinct language, culture, and settlements along the Saramacca River.
  • C. Vaitahu
    Vaitahu is the principal village and administrative center of the island of Tahuata in the Marquesas Islands of French Polynesia.
  • D. Tolitoli
    Tolitoli is a coastal town and regency capital in Central Sulawesi, Indonesia, known as a regional hub for trade and agriculture.
  • E. Fagatogo
    Fagatogo is a coastal village on the island of Tutuila in American Samoa that serves as the territory’s main governmental and commercial center.
  • 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: Fongo-Tongo
Triple: [Ménoua, hasMunicipality, Fongo-Tongo]
Generated description
Fongo-Tongo is a rural municipality in western Cameroon known for its traditional Bamileke culture and scenic highland landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fongo-Tongo
Target entity description: Fongo-Tongo is a rural municipality in western Cameroon known for its traditional Bamileke culture and scenic highland landscapes.
  • A. Tongaat
    Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
  • B. Matawai
    The Matawai are a Maroon community in Suriname descended from escaped African slaves, known for their distinct language, culture, and settlements along the Saramacca River.
  • C. Vaitahu
    Vaitahu is the principal village and administrative center of the island of Tahuata in the Marquesas Islands of French Polynesia.
  • D. Tolitoli
    Tolitoli is a coastal town and regency capital in Central Sulawesi, Indonesia, known as a regional hub for trade and agriculture.
  • E. Fagatogo
    Fagatogo is a coastal village on the island of Tutuila in American Samoa that serves as the territory’s main governmental and commercial center.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fbfc5848190aa612ea51df5a9ec completed April 29, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bae9fb798819082bddcc4a886ca4e completed May 19, 2026, 12:28 a.m.
NEDg Description generation batch_6a0baf84e1c88190abf6f9c18fa3d553 completed May 19, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0bb07b997c819098e64124a575a020 completed May 19, 2026, 12:36 a.m.
Created at: April 17, 2026, 3:39 p.m.