Triple

T18010224
Position Surface form Disambiguated ID Type / Status
Subject Cannon Mountain E430856 entity
Predicate hasSummitObservation P130108 FINISHED
Object observation tower LITERAL 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: observation tower | Statement: [Cannon Mountain, hasSummitObservation, observation tower]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSummitObservation
Context triple: [Cannon Mountain, hasSummitObservation, observation tower]
  • A. hasSummitViewsOf
    Indicates that from the summit of one location, there are views overlooking or directed toward another location.
  • B. hasSummitIn
    Indicates that an entity (such as a mountain or organization) has its summit or peak located within a specified place or region.
  • C. hasSummitViewsVia
    Indicates a relationship where one location offers views of a summit when accessed or observed via a particular route, vantage point, or intermediary location.
  • D. hasSummit
    Indicates that one entity possesses, features, or includes a summit or highest point as part of its structure or characteristics.
  • E. hasSummitFeature
    Indicates that a summit (or peak) possesses a particular characteristic, attribute, or notable feature.
  • F. None of above. chosen

Provenance (4 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b51f0a488190bd34e1f9039f4dc9 completed April 19, 2026, 10:57 a.m.
PD Predicate disambiguation batch_69e3f90039e4819080527f860dca042e completed April 18, 2026, 9:34 p.m.
PDg Predicate description generation batch_69e42d8d68288190a05dc5d7803cf823 completed April 19, 2026, 1:19 a.m.
Created at: April 10, 2026, 10:24 a.m.