Triple

T15371921
Position Surface form Disambiguated ID Type / Status
Subject Meyersdale, Pennsylvania E367568 entity
Predicate nearbyFeature P2064 FINISHED
Object Mount Davis E75018 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 Davis | Statement: [Meyersdale, Pennsylvania, nearbyFeature, Mount Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Davis
Context triple: [Meyersdale, Pennsylvania, nearbyFeature, Mount Davis]
  • A. Mount Davis chosen
    Mount Davis is the highest peak in Pennsylvania, located in the Laurel Highlands of the Allegheny Mountains.
  • B. Mount Humphreys
    Mount Humphreys is a prominent high-elevation peak in the Sierra Nevada of California, popular with climbers for its rugged terrain and alpine scenery.
  • C. Mount Wilbur
    Mount Wilbur is a prominent, rugged peak in Glacier National Park in Montana, known for its dramatic cliffs rising above the Many Glacier area.
  • D. Mount Davidson
    Mount Davidson is a mountain peak located in the Fitzsimmons Range of the Coast Mountains in British Columbia, Canada.
  • E. Mount Wister
    Mount Wister is a prominent mountain peak in Wyoming’s Teton Range, known for its rugged terrain and challenging climbing routes.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e5c1d548190930bfaf0861595ae completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff677ef27c81909fd160205b71ca55 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 3:18 a.m.