Triple

T1491193
Position Surface form Disambiguated ID Type / Status
Subject Information Doesn’t Want to Be Free E29582 entity
Predicate positionOnTechnology P1485 FINISHED
Object argues that technology should empower users 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: argues that technology should empower users | Statement: [Information Doesn’t Want to Be Free, positionOnTechnology, argues that technology should empower users]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionOnTechnology
Context triple: [Information Doesn’t Want to Be Free, positionOnTechnology, argues that technology should empower users]
  • A. positionOn
    Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
  • B. positionOnKnowledge
    Indicates the stance, viewpoint, or level of agreement an entity holds regarding a particular piece or body of knowledge.
  • C. positionOnScience
    Indicates the stance, viewpoint, or attitude an entity holds regarding science or scientific matters.
  • D. associatedWithTechnology chosen
    Indicates a relationship where an entity is connected to, involved with, or utilizes a particular technology.
  • E. positionEstablishedIn
    Indicates the point in time or event when a particular position, role, or office was formally created or instituted.
  • 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6c3ace4819081bc2b86ee2486b6 completed March 1, 2026, 11:07 p.m.
PD Predicate disambiguation batch_69a4c48902808190a8028d359bcf123e completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8:12 p.m.