Triple

T16833173
Position Surface form Disambiguated ID Type / Status
Subject Igboland E409198 entity
Predicate majorCity P316 FINISHED
Object Umuahia E296839 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: Umuahia | Statement: [Igboland, majorCity, Umuahia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umuahia
Context triple: [Igboland, majorCity, Umuahia]
  • A. Umuahia chosen
    Umuahia is a city in southeastern Nigeria that serves as a major administrative and commercial center in the region.
  • B. Ugbokolo
    Ugbokolo is a town in Okpokwu Local Government Area of Benue State, Nigeria, known as a local commercial and educational center in the region.
  • C. Isi-Uzo
    Isi-Uzo is a local government area in southeastern Nigeria known for its predominantly rural communities and cultural ties to the larger Enugu region.
  • D. Ogwashi-Ukwu
    Ogwashi-Ukwu is a town in Delta State, southern Nigeria, known as the hometown of prominent economist and World Trade Organization Director-General Ngozi Okonjo-Iweala.
  • E. Uzoamaka
    Uzoamaka is the full given name of Emmy-winning American actress Uzo Aduba, known for her role as Suzanne "Crazy Eyes" Warren on the series Orange Is the New Black.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b318b8b88190b3266f4f06a955c1 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b2a2a5348190b14af8ab88a281b7 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.