Triple

T1987722
Position Surface form Disambiguated ID Type / Status
Subject West Chadic E43179 entity
Predicate hasMajorLanguage P207 FINISHED
Object Ngizim
Ngizim is a West Chadic language spoken primarily by the Ngizim people in northeastern Nigeria.
 E222773 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: Ngizim | Statement: [West Chadic, hasMajorLanguage, Ngizim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ngizim
Context triple: [West Chadic, hasMajorLanguage, Ngizim]
  • A. Kasulu
    Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
  • B. Gavinana
    Gavinana is a residential district in the southeastern part of Florence, Italy, known for its modern urban layout and proximity to the Arno River.
  • C. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • D. Mwotlap
    Mwotlap is an Oceanic Austronesian language spoken on Mota Lava and nearby islands in northern Vanuatu.
  • E. Nkayi
    Nkayi is a rural district and its main town in western Zimbabwe, situated in Matabeleland North Province and known for its predominantly Ndebele-speaking communities and subsistence agriculture.
  • 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: Ngizim
Triple: [West Chadic, hasMajorLanguage, Ngizim]
Generated description
Ngizim is a West Chadic language spoken primarily by the Ngizim people in northeastern Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ngizim
Target entity description: Ngizim is a West Chadic language spoken primarily by the Ngizim people in northeastern Nigeria.
  • A. Kasulu
    Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
  • B. Gavinana
    Gavinana is a residential district in the southeastern part of Florence, Italy, known for its modern urban layout and proximity to the Arno River.
  • C. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • D. Mwotlap
    Mwotlap is an Oceanic Austronesian language spoken on Mota Lava and nearby islands in northern Vanuatu.
  • E. Nkayi
    Nkayi is a rural district and its main town in western Zimbabwe, situated in Matabeleland North Province and known for its predominantly Ndebele-speaking communities and subsistence agriculture.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb840a5708190a9b64564b855fb22 completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae033410a88190bac79032a012549a completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae03e6239881909144a41a7ef96941 completed March 8, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69ae0452e188819099de641a9afcd04c completed March 8, 2026, 11:20 p.m.
Created at: March 4, 2026, 7:37 p.m.