Triple

T7161892
Position Surface form Disambiguated ID Type / Status
Subject Central Bantu E166965 entity
Predicate hasMajorLanguage P207 FINISHED
Object Pende
Pende is a Bantu language spoken primarily by the Pende people of the Democratic Republic of the Congo.
 E645173 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: Pende | Statement: [Central Bantu, hasMajorLanguage, Pende]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pende
Context triple: [Central Bantu, hasMajorLanguage, Pende]
  • A. Peren
    Peren is a town and administrative center in the northeastern Indian state of Nagaland.
  • B. Pendet
    Pendet is a traditional Balinese dance, originally a temple offering dance, that welcomes deities and guests with graceful, ritualized movements.
  • C. Penge
    Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
  • D. Punasa
    Punasa is a town in Madhya Pradesh, India, known for its proximity to the major Indira Sagar Dam on the Narmada River.
  • E. Nande
    The Nande are a Bantu-speaking ethnic group primarily inhabiting the mountainous regions of North Kivu in the eastern Democratic Republic of the Congo, known for their farming, trade, and distinct cultural traditions.
  • 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: Pende
Triple: [Central Bantu, hasMajorLanguage, Pende]
Generated description
Pende is a Bantu language spoken primarily by the Pende people of the Democratic Republic of the Congo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pende
Target entity description: Pende is a Bantu language spoken primarily by the Pende people of the Democratic Republic of the Congo.
  • A. Peren
    Peren is a town and administrative center in the northeastern Indian state of Nagaland.
  • B. Pendet
    Pendet is a traditional Balinese dance, originally a temple offering dance, that welcomes deities and guests with graceful, ritualized movements.
  • C. Penge
    Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
  • D. Punasa
    Punasa is a town in Madhya Pradesh, India, known for its proximity to the major Indira Sagar Dam on the Narmada River.
  • E. Nande
    The Nande are a Bantu-speaking ethnic group primarily inhabiting the mountainous regions of North Kivu in the eastern Democratic Republic of the Congo, known for their farming, trade, and distinct cultural traditions.
  • 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_69c68887a5cc8190bec0ea96227164f7 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e82e4b248190ad3c3863cb93971e completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adc4b7648190969fab0351f9fd22 completed March 28, 2026, 10:30 a.m.
NEDg Description generation batch_69c7ae44e0d48190818b193e03aba6a4 completed March 28, 2026, 10:32 a.m.
NED2 Entity disambiguation (via description) batch_69c7aeb68c3481909c6dff8ee51349ab completed March 28, 2026, 10:34 a.m.
Created at: March 27, 2026, 2:47 p.m.