Triple

T17142020
Position Surface form Disambiguated ID Type / Status
Subject Roy Nachum E415990 entity
Predicate usesMaterialOrTechnique P1272 FINISHED
Object Braille 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: Braille | Statement: [Roy Nachum, usesMaterialOrTechnique, Braille]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesMaterialOrTechnique
Context triple: [Roy Nachum, usesMaterialOrTechnique, Braille]
  • A. usesMaterialBy
    Indicates that one entity makes use of or employs a material that is provided, specified, or created by another entity.
  • B. appliedToMaterial
    Indicates that an action, process, or treatment is performed on or directed toward a specific material.
  • C. usedByTechnique
    Indicates that a particular technique makes use of or employs the referenced entity as part of its method or process.
  • D. materialUsed chosen
    Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
  • E. associatedWithMaterial
    Indicates a relationship where something is linked or connected to a particular material, typically as its substance, component, or relevant physical medium.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d5de10819090cbd65661b018d3 completed April 18, 2026, 9:08 p.m.
PD Predicate disambiguation batch_69e3830192ac819091344a9e5a36c8c9 completed April 18, 2026, 1:11 p.m.
Created at: April 10, 2026, 5:36 a.m.