Triple

T19290283
Position Surface form Disambiguated ID Type / Status
Subject food sovereignty movement E482421 entity
Predicate framesAsProblem P42942 FINISHED
Object concentration of corporate power in food systems 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: concentration of corporate power in food systems | Statement: [food sovereignty movement, framesAsProblem, concentration of corporate power in food systems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: framesAsProblem
Context triple: [food sovereignty movement, framesAsProblem, concentration of corporate power in food systems]
  • A. framesAs chosen
    Indicates how one entity presents, characterizes, or interprets another entity or situation in a particular light or context.
  • B. framesViewOf
    Indicates that one entity provides a framing, perspective, or interpretive context through which another entity is viewed or understood.
  • C. frame
    Indicates placing or presenting something within a particular context, structure, or perspective that shapes how it is interpreted.
  • D. framesConflictAs
    Indicates that one entity presents or interprets a situation, issue, or interaction specifically in terms of conflict or opposition between parties.
  • E. frameOfAction
    Indicates the contextual situation, setting, or circumstances within which an action or event takes place.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc050a888190ac204d1e736200c5 completed April 20, 2026, 10:12 a.m.
PD Predicate disambiguation batch_69e4dd0bc7508190a6f9d56bd4c3404f completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:30 p.m.