Triple

T5098460
Position Surface form Disambiguated ID Type / Status
Subject Parisian sans-culottes E114923 entity
Predicate notableDemand P44310 FINISHED
Object fixed prices for bread 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: fixed prices for bread | Statement: [Parisian sans-culottes, notableDemand, fixed prices for bread]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableDemand
Context triple: [Parisian sans-culottes, notableDemand, fixed prices for bread]
  • A. notableProtest chosen
    Indicates that an entity is recognized for having led, organized, or been centrally involved in a significant protest or demonstration.
  • B. notableDuring
    Indicates that something was especially prominent, active, or significant during a particular time period or event.
  • C. notableProposition
    Indicates that a subject is associated with a proposition, statement, or claim that is considered notable or significant in some context.
  • D. notableReport
    Indicates that an entity has produced, authored, or is otherwise associated with a report that is considered notable or significant.
  • E. notableInitiative
    Indicates that an entity is especially recognized for leading, launching, or being closely associated with a significant project, program, or initiative.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7567d21081909227ed8f08b74c71 completed March 20, 2026, 4:27 p.m.
PD Predicate disambiguation batch_69bd715e06808190931934dc9930f997 completed March 20, 2026, 4:10 p.m.
Created at: March 20, 2026, 1:40 p.m.