Triple

T37905138
Position Surface form Disambiguated ID Type / Status
Subject Spanish Sky Empire E945524 entity
Predicate temporalAnalogy P80920 FINISHED
Object Age of Exploration NE NERFINISHED

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: Age of Exploration | Statement: [Spanish Sky Empire, temporalAnalogy, Age of Exploration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: temporalAnalogy
Context triple: [Spanish Sky Empire, temporalAnalogy, Age of Exploration]
  • A. temporalConnotation
    Indicates a relationship where something carries, implies, or is associated with a particular sense of time, timing, or temporal context.
  • B. temporal
    Indicates a relationship that situates one event, state, or entity in time relative to another (e.g., before, after, or during).
  • C. temporality
    Indicates the time-related relationship between events or states, such as their order, duration, or simultaneity.
  • D. relatedAnalogy chosen
    Indicates that one entity is connected to another through an analogy, expressing a similarity or correspondence in structure, function, or relationship between them.
  • E. temporalAspect
    Indicates the time-related characteristics or phase (such as duration, frequency, or temporal status) associated with an event or relationship.
  • 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_69f76ef20bb0819088b5b6ceecb0b8fc completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fccdd496048190bca801a8a9eecb62 completed May 7, 2026, 5:37 p.m.
PD Predicate disambiguation batch_69fcccee6240819084680887731ff64b completed May 7, 2026, 5:33 p.m.
Created at: May 3, 2026, 4:20 p.m.