Triple

T18353003
Position Surface form Disambiguated ID Type / Status
Subject Northern Journey E439715 entity
Predicate containsTraditionalMaterial P50559 FINISHED
Object yes 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: yes | Statement: [Northern Journey, containsTraditionalMaterial, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsTraditionalMaterial
Context triple: [Northern Journey, containsTraditionalMaterial, yes]
  • A. traditionalMaterial chosen
    Indicates that something is made from, incorporates, or is characterized by materials associated with long-established or customary practices.
  • B. buildingMaterialTradition
    Indicates the customary or historically established use of particular materials in the construction of a building or structure.
  • C. hasArchitecturalMaterial
    Indicates that something is constructed from, incorporates, or is characterized by a particular architectural material.
  • D. usesFolkMaterial
    Indicates that one entity incorporates or draws upon traditional folk materials, such as melodies, stories, or motifs, in relation to another entity.
  • E. maskMaterialTradition
    Indicates a relationship where a mask is associated with, or originates from, a particular material tradition or customary way of making masks.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516d37bc08190abc9b4e8c937c914 completed April 19, 2026, 5:54 p.m.
PD Predicate disambiguation batch_69e44fe91bc08190906518e1b120fcf0 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 10:37 a.m.