Triple

T12423739
Position Surface form Disambiguated ID Type / Status
Subject Umuahia North E296844 entity
Predicate borders P224 FINISHED
Object Ikwuano E298514 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: Ikwuano | Statement: [Umuahia North, borders, Ikwuano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ikwuano
Context triple: [Umuahia North, borders, Ikwuano]
  • A. Ikwuano chosen
    Ikwuano is a local government area in southeastern Nigeria known for its predominantly agrarian communities and cultural heritage within Abia State.
  • B. Ikwerre
    Ikwerre is a Niger-Congo language spoken primarily by the Ikwerre people in Rivers State, Nigeria, particularly in and around Port Harcourt.
  • C. Akwanga
    Akwanga is a town and administrative center in central Nigeria known for its role as a commercial and educational hub in Nasarawa State.
  • D. Isheagu
    Isheagu is a town in Delta State, Nigeria, located within the Aniocha South Local Government Area.
  • E. Washo
    Washo is a Native American language isolate traditionally spoken by the Washoe people of the Lake Tahoe region in California and Nevada.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7b6bd08190b30beba393a5b1e7 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556495208190abd2e3e5aaac57a5 completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:55 p.m.