Triple

T16911890
Position Surface form Disambiguated ID Type / Status
Subject Salisbury, Pennsylvania E410216 entity
Predicate nearestHighPoint P50804 FINISHED
Object Mount Davis NE NERFINISHED

How this triple was built (3 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: [Salisbury, Pennsylvania, nearestHighPoint, Mount Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Davis
Context triple: [Salisbury, Pennsylvania, nearestHighPoint, 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 Davidson
    Mount Davidson is the highest natural point in San Francisco, known for its prominent summit cross and panoramic city views.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nearestHighPoint
Context triple: [Salisbury, Pennsylvania, nearestHighPoint, Mount Davis]
  • A. highestNearbyPeakElevationInFeet
    Indicates the elevation in feet of the tallest peak located within a defined nearby area of a given reference point.
  • B. highestPoint
    Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
  • C. hasHighestPointNear chosen
    Indicates that one entity’s highest point is located close to another specified entity or location.
  • D. highestPassApproxElevation
    Indicates the approximate elevation of the highest pass along a given route or within a specified area.
  • E. nearbySummit
    Indicates that one summit is located close to another summit in geographic space.
  • F. None of above.

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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3d6be88190bca5e1fdf727141b completed April 18, 2026, 6:15 p.m.
PD Predicate disambiguation batch_69e32b9489408190bcb2ede567ff5bf9 completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:30 a.m.