Triple

T540532
Position Surface form Disambiguated ID Type / Status
Subject Angola E12616 entity
Predicate nationalLanguage P236 FINISHED
Object Umbundu
Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
 E71693 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: Umbundu | Statement: [Angola, nationalLanguage, Umbundu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Umbundu
Context triple: [Angola, nationalLanguage, Umbundu]
  • A. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • B. Ikemba Iweala
    Ikemba Iweala is a Nigerian neurosurgeon and the husband of economist and World Trade Organization Director-General Ngozi Okonjo-Iweala.
  • C. Mandinka
    Mandinka is a major Mande language spoken primarily in The Gambia, Senegal, Guinea-Bissau, and neighboring West African countries by the Mandinka people.
  • D. Chikanga
    Chikanga is a high-density residential suburb of Mutare, a major city in eastern Zimbabwe.
  • E. Sakubva
    Sakubva is a high-density residential suburb of Mutare in eastern Zimbabwe, known as one of the city’s oldest and most populous townships.
  • 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: Umbundu
Triple: [Angola, nationalLanguage, Umbundu]
Generated description
Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Umbundu
Target entity description: Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
  • A. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • B. Ikemba Iweala
    Ikemba Iweala is a Nigerian neurosurgeon and the husband of economist and World Trade Organization Director-General Ngozi Okonjo-Iweala.
  • C. Mandinka
    Mandinka is a major Mande language spoken primarily in The Gambia, Senegal, Guinea-Bissau, and neighboring West African countries by the Mandinka people.
  • D. Chikanga
    Chikanga is a high-density residential suburb of Mutare, a major city in eastern Zimbabwe.
  • E. Sakubva
    Sakubva is a high-density residential suburb of Mutare in eastern Zimbabwe, known as one of the city’s oldest and most populous townships.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4985feee481908184a39210feab95 completed March 1, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4fc7b283c8190af5fb7fa649a9095 completed March 2, 2026, 2:56 a.m.
NEDg Description generation batch_69a4fd82527c81908f996fb4ac1d1000 completed March 2, 2026, 3:01 a.m.
NED2 Entity disambiguation (via description) batch_69a4fdfce6148190998b823f069cd43d completed March 2, 2026, 3:03 a.m.
Created at: March 1, 2026, 7:32 p.m.