Triple

T18700452
Position Surface form Disambiguated ID Type / Status
Subject Collegiate Peaks E457234 entity
Predicate contains P35 FINISHED
Object Mount Columbia 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: Mount Columbia | Statement: [Collegiate Peaks, contains, Mount Columbia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Columbia
Context triple: [Collegiate Peaks, contains, Mount Columbia]
  • A. Mount Columbia chosen
    Mount Columbia is a prominent fourteener in central Colorado, known for its challenging ascent and inclusion among the Collegiate Peaks of the Rocky Mountains.
  • B. Mount Columbia
    Mount Columbia is the highest peak in Alberta, Canada, and a prominent glaciated summit in the Canadian Rockies.
  • C. Mount Fraser
    Mount Fraser is a prominent mountain in the Canadian Rockies, known for its rugged peaks and scenic presence near Jasper National Park’s Tonquin Valley.
  • D. Kitimat Arm
    Kitimat Arm is a fjord-like inlet on the North Coast of British Columbia, Canada, forming the northernmost reach of the Douglas Channel system near the town of Kitimat.
  • E. Langara
    Langara is a town located in the Indonesian province of Southeast Sulawesi.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562eb06b481908ef9efdb976008f3 completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.