Triple

T11525226
Position Surface form Disambiguated ID Type / Status
Subject Onion Valley trailhead E273275 entity
Predicate parkingFee P99536 FINISHED
Object often required or subject to forest regulations 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: often required or subject to forest regulations | Statement: [Onion Valley trailhead, parkingFee, often required or subject to forest regulations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: parkingFee
Context triple: [Onion Valley trailhead, parkingFee, often required or subject to forest regulations]
  • A. parkSystem
    Indicates a relationship where an entity is part of, managed by, or associated with an organized system of parks or protected recreational areas.
  • B. parkingType
    Indicates the specific kind or category of parking arrangement associated with an entity (e.g., street, garage, lot, reserved).
  • C. hasDailyParking
    Indicates that an entity provides or is associated with parking that is available and valid on a daily basis.
  • D. parkingOften
    Indicates that an entity frequently engages in the action of parking, or that parking occurs often in relation to that entity.
  • E. hasParking
    Indicates that a place or facility provides designated parking space(s) available for use.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd379648190b342e0c4b4f685b7 completed April 10, 2026, 4:42 a.m.
PD Predicate disambiguation batch_69d80879fdb48190be6dacc8aa63c809 completed April 9, 2026, 8:13 p.m.
PDg Predicate description generation batch_69d8279925e4819089210611c0d8e61a completed April 9, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:37 p.m.