Triple

T3763445
Position Surface form Disambiguated ID Type / Status
Subject Gao Region E82615 entity
Predicate containsCity P294 FINISHED
Object Ménaka
Ménaka is a town in eastern Mali that serves as an important administrative and trading center in the Sahel region.
 E386196 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: Ménaka | Statement: [Gao Region, containsCity, Ménaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ménaka
Context triple: [Gao Region, containsCity, Ménaka]
  • A. Mameyal
    Mameyal is a coastal barrio (neighborhood) of the municipality of Dorado in Puerto Rico, known for its seaside setting and local community character.
  • B. Mawtini
    Mawtini is a patriotic Arabic song that serves as Iraq’s national anthem, celebrating homeland, freedom, and resilience.
  • C. Lemi
    Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
  • D. Nanuya Levu
    Nanuya Levu is a small, tropical Fijian island in the Yasawa archipelago, known for its secluded beaches and use as a filming location for the movie "The Blue Lagoon."
  • E. Bab Guissa
    Bab Guissa is a historic northern gate of the old city of Fez in Morocco, serving as one of the main entrances to its medieval medina.
  • 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: Ménaka
Triple: [Gao Region, containsCity, Ménaka]
Generated description
Ménaka is a town in eastern Mali that serves as an important administrative and trading center in the Sahel region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ménaka
Target entity description: Ménaka is a town in eastern Mali that serves as an important administrative and trading center in the Sahel region.
  • A. Mameyal
    Mameyal is a coastal barrio (neighborhood) of the municipality of Dorado in Puerto Rico, known for its seaside setting and local community character.
  • B. Mawtini
    Mawtini is a patriotic Arabic song that serves as Iraq’s national anthem, celebrating homeland, freedom, and resilience.
  • C. Lemi
    Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
  • D. Nanuya Levu
    Nanuya Levu is a small, tropical Fijian island in the Yasawa archipelago, known for its secluded beaches and use as a filming location for the movie "The Blue Lagoon."
  • E. Bab Guissa
    Bab Guissa is a historic northern gate of the old city of Fez in Morocco, serving as one of the main entrances to its medieval medina.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfbecf8819099d80af480cbe2d2 completed March 8, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e51e54108190ab60e189cfbb0db0 completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e6a49ffc81908d6322b1ca6f6327 completed March 14, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_69b4e7311cc4819098926b36b94cae96 completed March 14, 2026, 4:42 a.m.
Created at: March 8, 2026, 3:35 p.m.