Triple

T16140343
Position Surface form Disambiguated ID Type / Status
Subject Fra li Monti E391635 entity
Predicate trailMarkingSystem P103519 FINISHED
Object GR waymarking 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: GR waymarking | Statement: [Fra li Monti, trailMarkingSystem, GR waymarking]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trailMarkingSystem
Context triple: [Fra li Monti, trailMarkingSystem, GR waymarking]
  • A. routeMarkingStandard chosen
    Indicates the standard or convention used to mark or signpost a particular route.
  • B. colorOfTrailMarkings
    Indicates the relationship specifying what color the trail’s markings are.
  • C. coatMarkings
    Indicates how an entity’s coat is patterned or marked, such as stripes, spots, or other distinctive visual markings.
  • D. trackSystem
    Indicates a relationship where one entity monitors, records, or follows the status, behavior, or changes of another entity within a system.
  • E. hasFloorMarkings
    Indicates that an entity features visible markings or lines on its floor surface, typically used for guidance, organization, or safety.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a07b7908190b4e1ec57f60a9274 completed April 17, 2026, 11:31 a.m.
PD Predicate disambiguation batch_69e182885bc08190822ae7e8a4b8ac1f completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 5:01 a.m.