Triple

T13558831
Position Surface form Disambiguated ID Type / Status
Subject Ifo E323850 entity
Predicate ethnicHeritage P1494 FINISHED
Object Awori E60522 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: Awori | Statement: [Ifo, ethnicHeritage, Awori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Awori
Context triple: [Ifo, ethnicHeritage, Awori]
  • A. Awori chosen
    The Awori are a subgroup of the Yoruba people known for their early settlement around Lagos and Ogun in southwestern Nigeria and their significant role in the region’s cultural and urban development.
  • B. Oloibiri
    Oloibiri is a historic town in Bayelsa State, Nigeria, best known as the site where commercial quantities of crude oil were first discovered in the country.
  • C. Anozie
    Anozie is the surname of British-Nigerian actor Nonso Anozie, known for his roles in film, television, and theatre.
  • D. Aroroy
    Aroroy is a coastal municipality in the province of Masbate in the Philippines, known historically for its gold mining and fishing industries.
  • E. Ofolanga
    Ofolanga is a small island in the Haʻapai group of Tonga, known for its remote, unspoiled beaches and traditional Polynesian character.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff4223c8190801d153ae8f94c73 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bb1ef508190ab587bd2aa34795b completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:47 p.m.