Triple

T10489340
Position Surface form Disambiguated ID Type / Status
Subject Maba language E247372 entity
Predicate hasAlternativeName P39 FINISHED
Object Mabang
Mabang is an alternative name for the Maba language, a Nilo-Saharan language spoken primarily in Chad.
E867071 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: Mabang | Statement: [Maba language, hasAlternativeName, Mabang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mabang
Context triple: [Maba language, hasAlternativeName, Mabang]
  • A. Maibang
    Maibang is a historic town in Assam, India, known for its scenic hill landscapes and its past as the capital of the Dimasa Kachari kingdom.
  • B. Matabaan
    Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
  • C. Magui
    Magui is a common affectionate nickname or diminutive form of the Portuguese given name Margarida.
  • D. Machang
    Machang is a town and administrative district in the Malaysian state of Kelantan, known for its semi-urban character and role as a local commercial and educational hub.
  • E. Mamit
    Mamit is a town in the northeastern Indian state of Mizoram, serving as the administrative headquarters of Mamit district.
  • 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: Mabang
Triple: [Maba language, hasAlternativeName, Mabang]
Generated description
Mabang is an alternative name for the Maba language, a Nilo-Saharan language spoken primarily in Chad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mabang
Target entity description: Mabang is an alternative name for the Maba language, a Nilo-Saharan language spoken primarily in Chad.
  • A. Maibang
    Maibang is a historic town in Assam, India, known for its scenic hill landscapes and its past as the capital of the Dimasa Kachari kingdom.
  • B. Matabaan
    Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
  • C. Magui
    Magui is a common affectionate nickname or diminutive form of the Portuguese given name Margarida.
  • D. Machang
    Machang is a town and administrative district in the Malaysian state of Kelantan, known for its semi-urban character and role as a local commercial and educational hub.
  • E. Mamit
    Mamit is a town in the northeastern Indian state of Mizoram, serving as the administrative headquarters of Mamit district.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097ca5c081908b47a08ca7885650 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc9792308190b09d6aaed63dd418 completed April 10, 2026, 11:18 a.m.
NEDg Description generation batch_69d8e8c81bdc8190b6b6dfe00025b514 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901e1ecf88190acd24a0e20462cb9 completed April 10, 2026, 1:57 p.m.
Created at: April 6, 2026, 12:23 p.m.