Triple

T22883852
Position Surface form Disambiguated ID Type / Status
Subject Ménoua E567548 entity
Predicate hasMunicipality P847 FINISHED
Object Penka-Michel
Penka-Michel is a municipality located in the Ménoua department of Cameroon’s West Region.
E1558966 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: Penka-Michel | Statement: [Ménoua, hasMunicipality, Penka-Michel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penka-Michel
Context triple: [Ménoua, hasMunicipality, Penka-Michel]
  • A. Ludmila Mikaël
    Ludmila Mikaël is a French actress known for her work in film, theatre, and television since the late 1960s.
  • B. Dida
    Dida is a Brazilian former professional goalkeeper best known for his time at AC Milan, where he was regarded as one of the world’s top keepers in the early 2000s.
  • C. Dida
    "Dida" is a song best known from Joan Baez’s repertoire, often associated with her 1970s folk and singer-songwriter work.
  • D. Micheline
    Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • E. Micka
    Micka is a diminutive or affectionate nickname commonly used for the given name Michael.
  • 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: Penka-Michel
Triple: [Ménoua, hasMunicipality, Penka-Michel]
Generated description
Penka-Michel is a municipality located in the Ménoua department of Cameroon’s West Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Penka-Michel
Target entity description: Penka-Michel is a municipality located in the Ménoua department of Cameroon’s West Region.
  • A. Ludmila Mikaël
    Ludmila Mikaël is a French actress known for her work in film, theatre, and television since the late 1960s.
  • B. Dida
    Dida is a Brazilian former professional goalkeeper best known for his time at AC Milan, where he was regarded as one of the world’s top keepers in the early 2000s.
  • C. Dida
    "Dida" is a song best known from Joan Baez’s repertoire, often associated with her 1970s folk and singer-songwriter work.
  • D. Micheline
    Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • E. Micka
    Micka is a diminutive or affectionate nickname commonly used for the given name Michael.
  • 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.