Triple

T2755606
Position Surface form Disambiguated ID Type / Status
Subject Bight of Biafra E61092 entity
Predicate hasPortCity P2745 FINISHED
Object Calabar E87286 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: Calabar | Statement: [Bight of Biafra, hasPortCity, Calabar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calabar
Context triple: [Bight of Biafra, hasPortCity, Calabar]
  • A. Calabar chosen
    Calabar is a historic port city in southeastern Nigeria known for its role in the transatlantic slave trade and its vibrant cultural festivals.
  • B. Ewondo
    Ewondo is a Bantu language spoken primarily by the Ewondo people in central Cameroon, including in and around the capital city, Yaoundé.
  • C. Benina
    Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
  • D. Ekpoma
    Ekpoma is a prominent town in southern Nigeria known for hosting Ambrose Alli University and serving as an important educational and commercial center in Edo State.
  • E. Wele-Nzas
    Wele-Nzas is a province in mainland Equatorial Guinea known for its forests, border location near Gabon and Cameroon, and the city of Mongomo.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb718f4c8190bfc34c6597163ebc completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbdd509c8190ac62aa6d50dea3a6 completed March 10, 2026, 6:36 a.m.
Created at: March 6, 2026, 9:56 p.m.