Triple

T4274375
Position Surface form Disambiguated ID Type / Status
Subject Northstar-at-Tahoe E97012 entity
Predicate hasTypeOfTerrain P46535 FINISHED
Object groomed intermediate runs 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: groomed intermediate runs | Statement: [Northstar-at-Tahoe, hasTypeOfTerrain, groomed intermediate runs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeOfTerrain
Context triple: [Northstar-at-Tahoe, hasTypeOfTerrain, groomed intermediate runs]
  • A. hasAdvancedTerrain
    Indicates that an entity possesses or is associated with terrain featuring complex, challenging, or enhanced physical characteristics beyond standard ground conditions.
  • B. hasMountainousTerrain
    Indicates that a location or area possesses predominantly mountainous physical terrain or landscape features.
  • C. hasLandform
    Indicates that one entity possesses, contains, or is characterized by a particular natural landform.
  • D. hasIntermediateTerrain chosen
    Indicates that something is situated on or characterized by terrain of medium or moderate difficulty or ruggedness, between easy/flat and difficult/extreme terrain.
  • E. terrainFeature
    Indicates a relationship where one entity is a natural or constructed landform or surface characteristic associated with a given location or area.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3501abb74819086b2f04ac7a5c114 completed March 12, 2026, 11:45 p.m.
PD Predicate disambiguation batch_69b347faa45481908c19c29fb906dc92 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:07 p.m.