Triple

T15124931
Position Surface form Disambiguated ID Type / Status
Subject Wasagaming Campground E361261 entity
Predicate locatedIn P40 FINISHED
Object Wasagaming E361260 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: Wasagaming | Statement: [Wasagaming Campground, locatedIn, Wasagaming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wasagaming
Context triple: [Wasagaming Campground, locatedIn, Wasagaming]
  • A. Wasagaming chosen
    Wasagaming is a small resort and service community that serves as the main visitor hub within Riding Mountain National Park in Manitoba, Canada.
  • B. Jasso
    Jasso is a locality in the Mexican state of Hidalgo, likely known as an industrial or residential community within the region.
  • C. Agiocochook
    Agiocochook is the Native American name for Mount Washington, the highest peak in the Northeastern United States, renowned for its extreme weather conditions.
  • D. Ejogo
    Ejogo is a surname most notably associated with British actress and singer Carmen Ejogo.
  • E. Gitwangak
    Gitwangak is an Indigenous Gitxsan community in northwestern British Columbia, Canada, known for its rich cultural heritage and traditional governance.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005a0c6888190840de4ead2306544 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f67f6c81909723c13255306668 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:06 a.m.