Triple

T5189550
Position Surface form Disambiguated ID Type / Status
Subject Turtlehead Peak Trail E117115 entity
Predicate recommendedGear P16857 FINISHED
Object sturdy hiking shoes 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: sturdy hiking shoes | Statement: [Turtlehead Peak Trail, recommendedGear, sturdy hiking shoes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recommendedGear
Context triple: [Turtlehead Peak Trail, recommendedGear, sturdy hiking shoes]
  • A. recommendedEquipment chosen
    Indicates that one entity suggests or endorses another entity as suitable equipment to be used in a particular context or activity.
  • B. equippedFor
    Indicates that one entity is suitably provided with the necessary tools, features, or capabilities to perform a particular function or handle a specific situation for another entity or purpose.
  • C. commendedFor
    Indicates that one entity has expressed praise or approval toward another entity specifically because of a particular action, quality, or achievement.
  • D. recommendedIn
    Indicates that one entity is suggested or endorsed within the context, content, or scope of another entity (such as a document, list, or recommendation source).
  • E. madeRecommendation
    Indicates that one entity has suggested or advised another entity to consider a particular option, action, or choice.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c732b48190af62dfffcbc5e3a6 completed March 20, 2026, 4:45 p.m.
PD Predicate disambiguation batch_69bd77b7e8b4819092ec3965e11f2dea completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:46 p.m.