Triple

T14098998
Position Surface form Disambiguated ID Type / Status
Subject Agatu E339329 entity
Predicate borders P224 FINISHED
Object Loko in Nasarawa State E368501 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: Loko in Nasarawa State | Statement: [Agatu, borders, Loko in Nasarawa State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loko in Nasarawa State
Context triple: [Agatu, borders, Loko in Nasarawa State]
  • A. Western State, Nigeria
    Western State, Nigeria was a former administrative region in southwestern Nigeria that existed from 1967 to 1976 before being divided into several smaller states, including Oyo State.
  • B. Nasarawa Eggon chosen
    Nasarawa Eggon is a town and administrative local government area in central Nigeria known for its diverse ethnic communities and agricultural activities.
  • C. Bekwarra Local Government Area
    Bekwarra Local Government Area is an administrative region in Cross River State, Nigeria, known for its predominantly Bekwarra-speaking population and agrarian economy.
  • D. Okolochi
    Okolochi is a village-level community located within the Owerri West Local Government Area in Imo State, southeastern Nigeria.
  • E. Ikposo
    Ikposo is a Niger-Congo language spoken primarily by the Akposso people in Togo and parts of neighboring West African countries.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fba7c10819095b1299b7b4f0310 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0adfc28819097a1bfd56739c286 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.