Triple

T3358536
Position Surface form Disambiguated ID Type / Status
Subject Mount Washington Resort E70660 entity
Predicate hasSkiRuns P18014 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: [Mount Washington Resort, hasSkiRuns, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSkiRuns
Context triple: [Mount Washington Resort, hasSkiRuns, yes]
  • A. hasNightSkiing
    Indicates that a location or facility offers skiing activities that take place during nighttime under artificial lighting.
  • B. hasSkiLifts
    Indicates that one location or facility is equipped with ski lifts that provide transportation for skiers or visitors.
  • C. hasSkiResortNearby
    Indicates that one location is situated close enough to another location that it can be considered to have a ski resort in its vicinity.
  • D. hasSkiableArea chosen
    Indicates that an entity possesses an area of terrain that can be used for skiing.
  • E. hasWinterSportsSeason
    Indicates that an entity participates in, is associated with, or has a defined period for winter sports activities or competitions.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb26523cc819091006fde7beb32e4 completed March 8, 2026, 5:31 p.m.
PD Predicate disambiguation batch_69ada42fbe7c8190b9f185b5ab985f17 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:13 p.m.