Triple

T20095547
Position Surface form Disambiguated ID Type / Status
Subject Cerro Manquehue E496389 entity
Predicate hasSunriseViews P123330 FINISHED
Object yes 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: yes | Statement: [Cerro Manquehue, hasSunriseViews, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSunriseViews
Context triple: [Cerro Manquehue, hasSunriseViews, yes]
  • A. hasSunriseView chosen
    Indicates that a location or object offers a clear or notable view of the sunrise.
  • B. hasSunsetView
    Indicates that one entity offers a clear or notable view of the sunset from its location or perspective.
  • C. hasSummitViewsOf
    Indicates that from the summit of one location, there are views overlooking or directed toward another location.
  • D. 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.
  • E. hasScenicViewOf
    Indicates that one entity offers a visually appealing or picturesque view of another entity.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666b891c8190b4e4a60b73728771 completed April 20, 2026, 5:46 p.m.
PD Predicate disambiguation batch_69e54cf788188190a46cc49c9ce7617f completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 11:24 p.m.