Triple

T14168841
Position Surface form Disambiguated ID Type / Status
Subject Kamberi E351149 entity
Predicate neighboringEthnicGroup P11274 FINISHED
Object Dukawa E351148 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: Dukawa | Statement: [Kamberi, neighboringEthnicGroup, Dukawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dukawa
Context triple: [Kamberi, neighboringEthnicGroup, Dukawa]
  • A. Dukawa chosen
    Dukawa are an ethnic group in northwestern Nigeria, primarily inhabiting rural areas of Kebbi and Niger States and known for their distinct language and traditional agrarian lifestyle.
  • B. Dadu
    Dadu was the Yuan dynasty capital city established by Kublai Khan on the site of present-day Beijing, serving as the political and cultural center of his empire.
  • C. Dadu
    Dadu is a city in Pakistan’s Sindh province known as a regional commercial center and gateway to nearby historical and natural sites such as the Kirthar National Park.
  • D. Taizi
    Taizi is the traditional Chinese title for the designated heir apparent to the imperial throne.
  • E. Zhaoge
    Zhaoge was an ancient Chinese city that served as the final capital of the Shang dynasty before its fall to the Zhou.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b472288190b4a271daa54aa6cd completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193dbbcc819082043d92c174164c completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1 a.m.