Triple

T16363815
Position Surface form Disambiguated ID Type / Status
Subject Nembe Ijaw E397381 entity
Predicate hasSettlement P1068 FINISHED
Object Bassambiri E470802 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: Bassambiri | Statement: [Nembe Ijaw, hasSettlement, Bassambiri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bassambiri
Context triple: [Nembe Ijaw, hasSettlement, Bassambiri]
  • A. Bassambiri chosen
    Bassambiri is a coastal settlement in the Nembe area of Bayelsa State, Nigeria, known as one of the traditional Nembe communities in the Niger Delta.
  • B. Mbita
    Mbita is a town in western Kenya situated on the shores of Lake Victoria, serving as a local commercial and transport hub, including access to nearby islands.
  • C. Chisamba
    Chisamba is a town in Zambia known for its agricultural activities and location along the Great North Road between Lusaka and Kabwe.
  • D. Mbagala
    "Mbagala" is a popular hit song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
  • E. Kamwambie
    "Kamwambie" is a popular song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3aada88190a6e01f04c494a6ac completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00355df6188190929be8584b5ac87e completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 5:08 a.m.