Triple

T4583745
Position Surface form Disambiguated ID Type / Status
Subject Fermina Daza E101915 entity
Predicate keyPlotEvent P259 FINISHED
Object breaks off youthful relationship with Florentino Ariza 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: breaks off youthful relationship with Florentino Ariza | Statement: [Fermina Daza, keyPlotEvent, breaks off youthful relationship with Florentino Ariza]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: keyPlotEvent
Context triple: [Fermina Daza, keyPlotEvent, breaks off youthful relationship with Florentino Ariza]
  • A. centralPlotDevice
    Indicates that one entity functions as the main narrative mechanism or element around which the plot of the other entity is structured.
  • B. significantEvent chosen
    Indicates that an event involving the entities is of notable importance or impact within a given context.
  • C. partOfSeriesOfEvents
    Indicates that an event is one element within a larger, ordered sequence of related events.
  • D. keyEventDescribed
    Indicates that a key or significant event is explicitly described or detailed in relation to an entity or context.
  • E. keyPassage
    Indicates that a specific passage or excerpt is identified as especially important, central, or representative within a larger text or discourse.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd590411dc81909c55d1c42a4d44ef completed March 20, 2026, 2:26 p.m.
PD Predicate disambiguation batch_69bd522acbcc8190bf24d9517793a2c1 completed March 20, 2026, 1:56 p.m.
Created at: March 20, 2026, 1:10 p.m.