Triple

T9953385
Position Surface form Disambiguated ID Type / Status
Subject Ndrumbea E195385 entity
Predicate hasAlternativeName P39 FINISHED
Object Ndumbea
Ndumbea is an Oceanic language of southern New Caledonia, traditionally spoken by the indigenous Kanak people near Nouméa.
 E830258 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: Ndumbea | Statement: [Ndrumbea, hasAlternativeName, Ndumbea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ndumbea
Context triple: [Ndrumbea, hasAlternativeName, Ndumbea]
  • A. Ndzebi
    Ndzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and neighboring regions.
  • B. Dumenza
    Dumenza is a small municipality in the Lombardy region of northern Italy, located in the Province of Varese near the Swiss border.
  • C. Nyambo
    Nyambo are a Bantu-speaking ethnic group primarily inhabiting Tanzania’s Kagera Region near the western shores of Lake Victoria.
  • D. Nkambe
    Nkambe is a town and administrative center in northwestern Cameroon known for its role as the capital of Donga-Mantung Division.
  • E. Zvongombe
    Zvongombe was the principal urban and political center of the Mutapa Kingdom in what is now northern Zimbabwe.
  • 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: Ndumbea
Triple: [Ndrumbea, hasAlternativeName, Ndumbea]
Generated description
Ndumbea is an Oceanic language of southern New Caledonia, traditionally spoken by the indigenous Kanak people near Nouméa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ndumbea
Target entity description: Ndumbea is an Oceanic language of southern New Caledonia, traditionally spoken by the indigenous Kanak people near Nouméa.
  • A. Ndzebi
    Ndzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and neighboring regions.
  • B. Dumenza
    Dumenza is a small municipality in the Lombardy region of northern Italy, located in the Province of Varese near the Swiss border.
  • C. Nyambo
    Nyambo are a Bantu-speaking ethnic group primarily inhabiting Tanzania’s Kagera Region near the western shores of Lake Victoria.
  • D. Nkambe
    Nkambe is a town and administrative center in northwestern Cameroon known for its role as the capital of Donga-Mantung Division.
  • E. Zvongombe
    Zvongombe was the principal urban and political center of the Mutapa Kingdom in what is now northern Zimbabwe.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb693918081908e9f96ef302235ad completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2293dc93881908aff4cb3640c0edf completed April 5, 2026, 9:19 a.m.
NEDg Description generation batch_69d229b3b200819083aa90f64eaec9e8 completed April 5, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_69d22a2d14fc8190b2493ce571811d43 completed April 5, 2026, 9:23 a.m.
Created at: March 30, 2026, 8:46 p.m.