Triple

T9606313
Position Surface form Disambiguated ID Type / Status
Subject Alur language E231979 entity
Predicate hasAlternativeName P39 FINISHED
Object Alur E810860 NE FINISHED

How this triple was built (2 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: Alur | Statement: [Alur language, hasAlternativeName, Alur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alur
Context triple: [Alur language, hasAlternativeName, Alur]
  • A. Alur chosen
    Alur is a Western Nilotic language spoken primarily by the Alur people in northwestern Uganda and northeastern Democratic Republic of the Congo.
  • B. Ilala
    Ilala is a central administrative district of Dar es Salaam in Tanzania, encompassing key commercial, residential, and transport hubs of the city.
  • C. Aluta
    Aluta is the historical name of the Olt River, a major waterway flowing through central Romania.
  • D. Alben
    Alben is a masculine given name most notably borne by Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
  • E. Aluank
    Aluank is an ancient historical region and kingdom in the eastern Caucasus, known in classical sources as Caucasian Albania.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a6006d48190adc03306533b9be6 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18220a2308190aac7380c98f23965 completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 8:08 p.m.