Triple

T4034892
Position Surface form Disambiguated ID Type / Status
Subject Mount Keen area E83804 entity
Predicate highestPoint P210 FINISHED
Object Mount Keen E469164 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: Mount Keen | Statement: [Mount Keen area, highestPoint, Mount Keen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Keen
Context triple: [Mount Keen area, highestPoint, Mount Keen]
  • A. Mount Keen chosen
    Mount Keen is a prominent Scottish mountain in the Grampian range, known as the most easterly Munro and a popular hiking destination.
  • B. Mount Veeder
    Mount Veeder is a mountain in the Mayacamas range of Northern California, known for its steep, rugged terrain and as the namesake of a prominent Napa Valley winegrowing region.
  • C. Mount Hunter
    Mount Hunter is a prominent, heavily glaciated peak in Alaska known for its steep faces and challenging alpine climbing routes.
  • D. Mount Brooker
    Mount Brooker is a prominent mountain peak located within the Allardyce Range on the sub-Antarctic island of South Georgia.
  • E. Mount Tur
    Mount Tur is a sacred mountain in the Islamic tradition, associated with the Prophet Moses and the revelation of divine commandments.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb11d92481909aaebbc250ff45b9 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed8f8a8a08190b403b8c3caf20009 completed March 21, 2026, 5:44 p.m.
Created at: March 9, 2026, 3:36 p.m.