Triple

T2283908
Position Surface form Disambiguated ID Type / Status
Subject First Inaugural Address E51342 entity
Predicate temporalOrder P23880 FINISHED
Object first major speech of a presidency 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: first major speech of a presidency | Statement: [First Inaugural Address, temporalOrder, first major speech of a presidency]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: temporalOrder
Context triple: [First Inaugural Address, temporalOrder, first major speech of a presidency]
  • A. temporalRelation
    Indicates a relationship that specifies how two events or states are positioned relative to each other in time (e.g., before, after, or overlapping).
  • B. temporalAspect
    Indicates the time-related characteristics or phase (such as duration, frequency, or temporal status) associated with an event or relationship.
  • C. chronologicallyAfter
    Indicates that one event or state occurs later in time than another.
  • D. chronologicalOrderInSeries chosen
    Indicates that one entity appears earlier or later than another within an ordered sequence or series.
  • E. establishedInOrder
    Indicates that one entity was created, founded, or formally set up as a result of, or in accordance with, a specific order, directive, or mandate.
  • 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_69a88b08e4308190bdac9aebcca1c91a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc2445f388190af643878145f8249 completed March 7, 2026, 6:14 a.m.
PD Predicate disambiguation batch_69abbdbb9e4c819085fc588626ec7c09 completed March 7, 2026, 5:55 a.m.
Created at: March 4, 2026, 7:48 p.m.