Triple

T4005749
Position Surface form Disambiguated ID Type / Status
Subject Ijaw languages E89521 entity
Predicate hasMember P10 FINISHED
Object Nembe language
The Nembe language is an Ijoid language spoken primarily by the Nembe people in Bayelsa State in Nigeria’s Niger Delta region.
 E407505 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: Nembe language | Statement: [Ijaw languages, hasMember, Nembe language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nembe language
Context triple: [Ijaw languages, hasMember, Nembe language]
  • A. Nupe language
    The Nupe language is a Niger-Congo language spoken primarily by the Nupe people in central Nigeria, especially in the Middle Belt region.
  • 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. Banda-Mbrém language
    The Banda-Mbrém language is a Central Sudanic language spoken by the Banda people in parts of Central Africa, particularly in the Central African Republic.
  • D. Nafe (Nguna) language
    The Nafe (Nguna) language is an Oceanic Austronesian language spoken on Nguna Island and nearby areas in central Vanuatu.
  • E. Nemi language
    The Nemi language is an indigenous Austronesian language spoken by the Nemi people of New Caledonia.
  • 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: Nembe language
Triple: [Ijaw languages, hasMember, Nembe language]
Generated description
The Nembe language is an Ijoid language spoken primarily by the Nembe people in Bayelsa State in Nigeria’s Niger Delta region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nembe language
Target entity description: The Nembe language is an Ijoid language spoken primarily by the Nembe people in Bayelsa State in Nigeria’s Niger Delta region.
  • A. Nupe language
    The Nupe language is a Niger-Congo language spoken primarily by the Nupe people in central Nigeria, especially in the Middle Belt region.
  • 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. Banda-Mbrém language
    The Banda-Mbrém language is a Central Sudanic language spoken by the Banda people in parts of Central Africa, particularly in the Central African Republic.
  • D. Nafe (Nguna) language
    The Nafe (Nguna) language is an Oceanic Austronesian language spoken on Nguna Island and nearby areas in central Vanuatu.
  • E. Nemi language
    The Nemi language is an indigenous Austronesian language spoken by the Nemi people of New Caledonia.
  • 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_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa60c500819084fcba785b2bf801 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c648d3c8190a85e5cdfb20f6044 completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54cf3da208190aa844c9ea66354fe completed March 14, 2026, 11:56 a.m.
NED2 Entity disambiguation (via description) batch_69b55159dc288190a63d5f5164b73bbb completed March 14, 2026, 12:15 p.m.
Created at: March 9, 2026, 3:34 p.m.