Triple

T23521336
Position Surface form Disambiguated ID Type / Status
Subject Bimoba E574514 entity
Predicate language P15 FINISHED
Object Bimoba language
Bimoba language is a Gur language spoken primarily by the Bimoba people in northern Ghana and neighboring parts of Togo.
E1591217 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: Bimoba language | Statement: [Bimoba, language, Bimoba language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bimoba language
Context triple: [Bimoba, language, Bimoba language]
  • A. Molbog language
    The Molbog language is an Austronesian language spoken by the Molbog people of southern Palawan in the Philippines and parts of northern Borneo.
  • B. Mambae language
    The Mambae language is an Austronesian language spoken primarily in East Timor, notable for its role in local identity and traditional culture.
  • C. Gbaya-Mbodomo language
    The Gbaya-Mbodomo language is a Niger-Congo language spoken by the Gbaya people of Central Africa, particularly in parts of the Central African Republic and neighboring regions.
  • D. Bafia language
    The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
  • E. Bambam language
    The Bambam language is an Austronesian language spoken in parts of South Sulawesi, Indonesia, known for its place within the region’s diverse indigenous linguistic landscape.
  • 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: Bimoba language
Triple: [Bimoba, language, Bimoba language]
Generated description
Bimoba language is a Gur language spoken primarily by the Bimoba people in northern Ghana and neighboring parts of Togo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bimoba language
Target entity description: Bimoba language is a Gur language spoken primarily by the Bimoba people in northern Ghana and neighboring parts of Togo.
  • A. Molbog language
    The Molbog language is an Austronesian language spoken by the Molbog people of southern Palawan in the Philippines and parts of northern Borneo.
  • B. Mambae language
    The Mambae language is an Austronesian language spoken primarily in East Timor, notable for its role in local identity and traditional culture.
  • C. Gbaya-Mbodomo language
    The Gbaya-Mbodomo language is a Niger-Congo language spoken by the Gbaya people of Central Africa, particularly in parts of the Central African Republic and neighboring regions.
  • D. Bafia language
    The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
  • E. Bambam language
    The Bambam language is an Austronesian language spoken in parts of South Sulawesi, Indonesia, known for its place within the region’s diverse indigenous linguistic landscape.
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa873ad48190a86807bd4f26df82 completed April 29, 2026, 6:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf4e354881908bf0660ca41468b5 completed May 19, 2026, 10:08 p.m.
NEDg Description generation batch_6a0ce3b5ab3c8190ac296adba7fee478 completed May 19, 2026, 10:27 p.m.
NED2 Entity disambiguation (via description) batch_6a0ce405f894819088163add1f8f2cc5 completed May 19, 2026, 10:28 p.m.
Created at: April 17, 2026, 6:08 p.m.