Triple

T20828426
Position Surface form Disambiguated ID Type / Status
Subject Regular Route (Fairview Dome) E512763 entity
Predicate hasProtectionStyle P15826 FINISHED
Object gear placements 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: gear placements | Statement: [Regular Route (Fairview Dome), hasProtectionStyle, gear placements]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProtectionStyle
Context triple: [Regular Route (Fairview Dome), hasProtectionStyle, gear placements]
  • A. protectionType chosen
    Indicates the kind or method of protection that is applied to or associated with an entity.
  • B. hasLandscapeProtection
    Indicates that an area or object is subject to legal or formal measures aimed at preserving its landscape or scenic character.
  • C. hasProtectionPurpose
    Indicates that something is intended or designed to serve a protective function or goal.
  • D. providesProtectionIn
    Indicates that one entity offers protection or safeguarding to another entity within a specified context, location, or situation.
  • E. hasStrictProtection
    Indicates that an entity is subject to strong, enforceable safeguards or restrictions that tightly limit how it can be accessed, used, or altered.
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c31e387481909fcf323f97019803 completed April 21, 2026, 12:21 a.m.
PD Predicate disambiguation batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:42 p.m.