Triple

T19752701
Position Surface form Disambiguated ID Type / Status
Subject Buena Vista, Colorado E474419 entity
Predicate near P350 FINISHED
Object Mount Harvard 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 Harvard | Statement: [Buena Vista, Colorado, near, Mount Harvard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Harvard
Context triple: [Buena Vista, Colorado, near, Mount Harvard]
  • A. Mount Harvard chosen
    Mount Harvard is one of Colorado's highest fourteeners, a prominent peak in the Rocky Mountains popular with climbers and hikers.
  • B. Mount Agamenticus
    Mount Agamenticus is a prominent coastal hill in southern Maine known for its panoramic views of the Atlantic Ocean and surrounding landscapes.
  • C. Mount Monadnock
    Mount Monadnock is a prominent isolated mountain in southwestern New Hampshire, renowned for its extensive hiking trails and status as one of the most frequently climbed peaks in the world.
  • D. MS Mount Washington
    MS Mount Washington is a historic excursion cruise ship that operates on Lake Winnipesaukee in New Hampshire, offering scenic passenger tours.
  • E. Mount Washington, Massachusetts
    Mount Washington, Massachusetts is a small, rural town in the southwestern corner of the state known for its high elevation, extensive forests, and proximity to natural attractions like Mount Washington State Forest and Bash Bish Falls.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529bcb8c8190bcca61a53be86757 completed April 20, 2026, 4:21 p.m.
Created at: April 10, 2026, 1:48 p.m.