Triple

T16567884
Position Surface form Disambiguated ID Type / Status
Subject Mandara language E402508 entity
Predicate hasAlternativeName P39 FINISHED
Object Mandwara
Mandwara is an alternative name for the Mandara language, an Afro-Asiatic language spoken primarily in parts of Cameroon and Nigeria.
E1221469 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: Mandwara | Statement: [Mandara language, hasAlternativeName, Mandwara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandwara
Context triple: [Mandara language, hasAlternativeName, Mandwara]
  • A. Singhwara
    Singhwara is a town located in the Darbhanga district of the Indian state of Bihar.
  • B. Gandevi
    Gandevi is a town in the Navsari district of Gujarat, India, known for its agricultural surroundings and regional trade activities.
  • C. Varachha
    Varachha is a major suburban area of Surat in Gujarat, India, known for its dense diamond-polishing industry and a large Patidar community.
  • D. Maulapur
    Maulapur is a town located in Madhesh Province in southeastern Nepal.
  • E. Savarkundla
    Savarkundla is a town in the Amreli district of Gujarat, India, known for its brass and copper utensil industry and traditional craftsmanship.
  • 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: Mandwara
Triple: [Mandara language, hasAlternativeName, Mandwara]
Generated description
Mandwara is an alternative name for the Mandara language, an Afro-Asiatic language spoken primarily in parts of Cameroon and Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mandwara
Target entity description: Mandwara is an alternative name for the Mandara language, an Afro-Asiatic language spoken primarily in parts of Cameroon and Nigeria.
  • A. Singhwara
    Singhwara is a town located in the Darbhanga district of the Indian state of Bihar.
  • B. Gandevi
    Gandevi is a town in the Navsari district of Gujarat, India, known for its agricultural surroundings and regional trade activities.
  • C. Varachha
    Varachha is a major suburban area of Surat in Gujarat, India, known for its dense diamond-polishing industry and a large Patidar community.
  • D. Maulapur
    Maulapur is a town located in Madhesh Province in southeastern Nepal.
  • E. Savarkundla
    Savarkundla is a town in the Amreli district of Gujarat, India, known for its brass and copper utensil industry and traditional craftsmanship.
  • 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.