Triple

T22909283
Position Surface form Disambiguated ID Type / Status
Subject Dja-et-Lobo E568543 entity
Predicate hasSettlement P1068 FINISHED
Object Sangmélima NE NERFINISHED

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: Sangmélima | Statement: [Dja-et-Lobo, hasSettlement, Sangmélima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sangmélima
Context triple: [Dja-et-Lobo, hasSettlement, Sangmélima]
  • A. Sangmélima chosen
    Sangmélima is a town in southern Cameroon known as a local administrative and commercial center in the South Region.
  • B. Luimbi
    Luimbi is a Bantu language spoken in parts of Angola, associated with the Zone L group in the Guthrie classification.
  • C. Chinnha
    Chinnha is a notable literary work by the influential Bengali writer Manik Bandopadhyay.
  • D. Blai Malliang
    Blai Malliang is the designer of Palau’s national flag, featuring a golden full moon centered on a light blue field.
  • E. Pangshura
    Pangshura is a genus of South Asian freshwater turtles commonly known as roofed turtles, recognized for the distinctive raised shape of their shells.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18072986881909eefb317ced5a145 completed April 29, 2026, 3:52 a.m.
Created at: April 17, 2026, 3:42 p.m.