Triple

T14252435
Position Surface form Disambiguated ID Type / Status
Subject Anioma people E353302 entity
Predicate localGovernmentArea P3379 FINISHED
Object Aniocha South E254228 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: Aniocha South | Statement: [Anioma people, localGovernmentArea, Aniocha South]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aniocha South
Context triple: [Anioma people, localGovernmentArea, Aniocha South]
  • A. Aniocha South chosen
    Aniocha South is a local government area in Delta State, Nigeria, known for its predominantly Anioma (Igbo-speaking) communities and administrative center at Ogwashi-Ukwu.
  • B. Aniocha North
    Aniocha North is a local government area in Delta State, Nigeria, predominantly inhabited by the Anioma (Igbo-speaking) people.
  • C. Nelcynda
    Nelcynda was an important ancient port city associated with the Chera dynasty, serving as a key hub in the Indian Ocean maritime trade network.
  • D. Itaitinga
    Itaitinga is a municipality in the state of Ceará in northeastern Brazil, located in the metropolitan region of Fortaleza.
  • E. Anua
    Anua is a locality within the Pago Pago urban area in American Samoa.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6297f38c819090d7c7fd8bfa2e9e completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d127f0c81908dea42ca09c1abda completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:08 a.m.