Triple

T5694909
Position Surface form Disambiguated ID Type / Status
Subject Delta State E125513 entity
Predicate hasMajorCity P316 FINISHED
Object Sapele E274585 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: Sapele | Statement: [Delta State, hasMajorCity, Sapele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sapele
Context triple: [Delta State, hasMajorCity, Sapele]
  • A. Sapele chosen
    Sapele is a prominent town in Delta State, Nigeria, known as a commercial and industrial hub in the Niger Delta region.
  • B. Egba
    Egba is a prominent subgroup of the Yoruba people in southwestern Nigeria, historically centered around the city of Abeokuta and known for its rich cultural and political heritage.
  • C. Makira
    Makira is a large, rugged island in the Solomon Islands known for its rich biodiversity, traditional Melanesian cultures, and relatively undeveloped, rainforest-covered interior.
  • D. Sakao
    Sakao is an Oceanic language spoken on the island of Espiritu Santo in Vanuatu, noted for its complex phonology and distinctive sound changes.
  • E. Bagassa
    Bagassa is a small genus of tropical trees in the mulberry family, known for species such as Bagassa guianensis found in South American rainforests.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02409e70081909e47f2bd4a50fa12 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a528a348190a7f6fd4cc3b76c92 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:45 p.m.