Triple

T2770351
Position Surface form Disambiguated ID Type / Status
Subject Abia State E61439 entity
Predicate hasCity 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: [Abia State, hasCity, Umuahia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umuahia
Context triple: [Abia State, hasCity, Umuahia]
  • A. Umuahia chosen
    Umuahia is a city in southeastern Nigeria that serves as a major administrative and commercial center in the region.
  • B. 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.
  • C. Aboh Mbaise
    Aboh Mbaise is a local government area in southeastern Nigeria known for its predominantly Igbo population and rich cultural traditions.
  • D. Nzebi
    Nzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and recognized there as one of the national languages.
  • E. Arugba
    Arugba is the virgin priestess who carries sacrificial offerings to the Osun River during the annual Osun-Osogbo Festival in 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd690b24819095647dd4a4f902bb completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc6496dc88190b316d5b36bc5df67 completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:57 p.m.