Triple

T11858304
Position Surface form Disambiguated ID Type / Status
Subject Ogbia E282095 entity
Predicate hasCapital P204 FINISHED
Object Ogbia Town E282095 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: Ogbia Town | Statement: [Ogbia, hasCapital, Ogbia Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ogbia Town
Context triple: [Ogbia, hasCapital, Ogbia Town]
  • A. Ogbia chosen
    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.
  • B. Goba town
    Goba town is an urban center in southeastern Ethiopia known as a gateway to the nearby Bale Mountains and their national park.
  • C. Isa Town
    Isa Town is a residential and commercial town in central Bahrain known for its markets, schools, and mixed local and expatriate community.
  • D. Opuwo
    Opuwo is a remote town in northwestern Namibia that serves as an administrative and commercial hub for the surrounding Kunene Region and nearby Himba communities.
  • E. Calabar
    Calabar is a historic port city in southeastern Nigeria known for its role in the transatlantic slave trade and its vibrant cultural festivals.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a699089c8190b7a298baf13dcded completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f2816404ac81909129347607fb5fd3 completed April 29, 2026, 10:08 p.m.
Created at: April 8, 2026, 9:43 p.m.