Triple

T12711973
Position Surface form Disambiguated ID Type / Status
Subject Remo E303740 entity
Predicate sharesBorderWith P224 FINISHED
Object Egba E56494 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: Egba | Statement: [Remo, sharesBorderWith, Egba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egba
Context triple: [Remo, sharesBorderWith, Egba]
  • A. Egba chosen
    Egba is a prominent subgroup of the Yoruba people in southwestern Nigeria, historically centered around the city of Abeokuta and known for its rich cultural and political heritage.
  • B. Ewu
    Ewu is a historic Esan town and traditional kingdom in Edo State, southern Nigeria, known for its cultural heritage and local monarchy.
  • C. Egba Gbagura
    Egba Gbagura is one of the major subgroups of the Egba people, a Yoruba ethnic group historically centered around the Abeokuta area in southwestern Nigeria.
  • D. Ogbia
    Ogbia is a local government area in Bayelsa State, Nigeria, known for its oil-rich communities and as the birthplace of former Nigerian President Goodluck Jonathan.
  • E. Nzebi
    Nzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and recognized there as one of the national languages.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96208fa6481909d6fd43654752a2d completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b8f43081909d4a8e4241c813a1 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:23 p.m.