Triple

T13098458
Position Surface form Disambiguated ID Type / Status
Subject Yakurr E310652 entity
Predicate hasSettlement P1068 FINISHED
Object Ugep E306873 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: Ugep | Statement: [Yakurr, hasSettlement, Ugep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ugep
Context triple: [Yakurr, hasSettlement, Ugep]
  • A. Ugep chosen
    Ugep is a prominent town in southeastern Nigeria known for its rich Yakurr cultural heritage and vibrant traditional festivals.
  • B. Udehe
    Udehe is an alternative name for the Udege language, a Tungusic language spoken by the Udege people in the Russian Far East.
  • C. Arugba
    Arugba is the virgin priestess who carries sacrificial offerings to the Osun River during the annual Osun-Osogbo Festival in Nigeria.
  • D. Urhobo
    Urhobo is an ethnic group primarily located in the Niger Delta region of southern Nigeria, known for its rich cultural traditions, language, and festivals.
  • E. Udichi
    Udichi is a section or unit within the Uttarayan Complex, likely serving as one of its residential or functional blocks.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981500d34819097037b3c3c33627b completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e275df6c819096bb59e64df35216 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:04 p.m.