Triple

T16567883
Position Surface form Disambiguated ID Type / Status
Subject Mandara language E402508 entity
Predicate hasAlternativeName P39 FINISHED
Object Mandra
Mandra is an alternative name for the Mandara language, an Afro-Asiatic language spoken in parts of Cameroon and Nigeria.
 E1221468 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: Mandra | Statement: [Mandara language, hasAlternativeName, Mandra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mandra
Context triple: [Mandara language, hasAlternativeName, Mandra]
  • A. Mandra
    Mandra is a renowned Kannada novel by S. L. Bhyrappa that explores the world of classical music alongside complex human emotions and relationships.
  • B. Mandra
    Mandra is a town in West Attica, Greece, situated inland near the Bay of Eleusis and forming part of the greater Athens metropolitan area.
  • C. Menetes
    Menetes is a traditional mountain village on the Greek island of Karpathos, known for its colorful houses, narrow alleys, and panoramic views over the Aegean Sea.
  • D. Menetes
    Menetes is a genus of rodents in the squirrel family, comprising ground-dwelling squirrels native to parts of Asia.
  • E. Mudurnu
    Mudurnu is a historic town and district in northwestern Turkey known for its well-preserved Ottoman architecture and traditional urban fabric.
  • 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: Mandra
Triple: [Mandara language, hasAlternativeName, Mandra]
Generated description
Mandra is an alternative name for the Mandara language, an Afro-Asiatic language spoken in parts of Cameroon and Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mandra
Target entity description: Mandra is an alternative name for the Mandara language, an Afro-Asiatic language spoken in parts of Cameroon and Nigeria.
  • A. Mandra
    Mandra is a renowned Kannada novel by S. L. Bhyrappa that explores the world of classical music alongside complex human emotions and relationships.
  • B. Mandra
    Mandra is a town in West Attica, Greece, situated inland near the Bay of Eleusis and forming part of the greater Athens metropolitan area.
  • C. Menetes
    Menetes is a traditional mountain village on the Greek island of Karpathos, known for its colorful houses, narrow alleys, and panoramic views over the Aegean Sea.
  • D. Menetes
    Menetes is a genus of rodents in the squirrel family, comprising ground-dwelling squirrels native to parts of Asia.
  • E. Mudurnu
    Mudurnu is a historic town and district in northwestern Turkey known for its well-preserved Ottoman architecture and traditional urban fabric.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35772f6608190a125c7d3c199c3e2 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ee3dcbc819087ea66b262585232 completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006ff5bdb88190be90d7446e24b61f completed May 10, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a007088fd988190b3dfef081769d03e completed May 10, 2026, 11:48 a.m.
Created at: April 10, 2026, 5:16 a.m.