Triple

T15557783
Position Surface form Disambiguated ID Type / Status
Subject Farin Ruwa Waterfalls E370915 entity
Predicate locatedNear P294 FINISHED
Object Wamba E368500 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: Wamba | Statement: [Farin Ruwa Waterfalls, locatedNear, Wamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wamba
Context triple: [Farin Ruwa Waterfalls, locatedNear, Wamba]
  • A. Wamba chosen
    Wamba is a town and administrative local government area in Nasarawa State, central Nigeria, known for its diverse ethnic communities and agricultural activities.
  • B. Wamba
    Wamba was a 7th-century king of the Visigoths in Hispania, known for his military campaigns and efforts to strengthen royal authority.
  • C. Wamba
    Wamba is a town located in the northeastern part of the Democratic Republic of the Congo.
  • D. Kenzi
    Kenzi is a Nubian language spoken in southern Egypt, closely related to Nobiin and part of the broader Nubian language family along the Nile.
  • E. Tembo
    Tembo are a Bantu-speaking ethnic group primarily inhabiting the eastern region of the Democratic Republic of the Congo, known for their agrarian lifestyle and rich cultural traditions.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dda3ab88190ab383333ce69fe8f completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456427988190bddea01f5cb159d9 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:09 a.m.