Triple

T15866254
Position Surface form Disambiguated ID Type / Status
Subject Air Vice-Marshal E384720 entity
Predicate usedInCountry P715 FINISHED
Object Nigeria E2050 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: Nigeria | Statement: [Air Vice-Marshal, usedInCountry, Nigeria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nigeria
Context triple: [Air Vice-Marshal, usedInCountry, Nigeria]
  • A. Nigeria chosen
    Nigeria is a populous West African country known for its diverse ethnic groups, rich cultural heritage, and status as Africa’s largest economy and oil producer.
  • B. Jos, Nigeria
    Jos, Nigeria is a major city in central Nigeria known as the capital of Plateau State and recognized for its relatively cool climate and diverse cultural heritage.
  • C. Nsukka, Nigeria
    Nsukka, Nigeria is a university town in southeastern Nigeria known for its influential art scene and as a center of contemporary African art.
  • D. Nazaire
    Nazaire is a masculine given name of French origin, historically borne by figures such as the revolutionary-era writer and politician Fabre d’Églantine.
  • E. Cameroon
    Cameroon is a Central African country known for its cultural and linguistic diversity, varied geography from coast to rainforest and savanna, and a mixed French-English colonial heritage.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555f75e88190bfd0f551d4ccf4cc completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa947ba3881909c602f2fc60dd6e8 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.