Triple

T10777159
Position Surface form Disambiguated ID Type / Status
Subject Aniocha South Local Government Area E254227 entity
Predicate ethnoCulturalRegion P1968 FINISHED
Object Anioma E541975 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: Anioma | Statement: [Aniocha South Local Government Area, ethnoCulturalRegion, Anioma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anioma
Context triple: [Aniocha South Local Government Area, ethnoCulturalRegion, Anioma]
  • A. Anioma chosen
    Anioma is an Igbo-speaking ethnic subgroup located in the eastern part of Nigeria’s Delta State, known for its distinct cultural identity within the broader Igbo culture.
  • B. Anini
    Anini is a remote town in the Dibang Valley district of Arunachal Pradesh in northeastern India, known for its rugged Himalayan terrain and proximity to the Dibang River.
  • C. Enyeama
    Enyeama is a Nigerian surname most prominently associated with Vincent Enyeama, a renowned former goalkeeper and captain of the Nigeria national football team.
  • D. Dondo
    Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • E. Ankwe
    Ankwe is an alternative name for the Goemai people and their Chadic language spoken primarily in central Nigeria.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7329d8c908190bddad40685133ea1 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de238ff88881908676d38dca041cb4 completed April 14, 2026, 11:22 a.m.
Created at: April 8, 2026, 9:16 p.m.