Triple

T25345259
Position Surface form Disambiguated ID Type / Status
Subject Roxa E635527 entity
Predicate locatedInSubregion P40 FINISHED
Object Western Africa E12611 NE FINISHED

How this triple was built (1 step)

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: Western Africa | Statement: [Roxa, locatedInSubregion, Western Africa]

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_69e75a9ac5d881909387ed766e20cd47 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f498bb04ec8190bd125654fdcd2027 completed May 1, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10b72da3b88190a8dcc2de7c05cf8f completed May 22, 2026, 8:06 p.m.
Created at: April 21, 2026, 1:34 p.m.