Triple

T1331274
Position Surface form Disambiguated ID Type / Status
Subject 2009 U.S. presidential inauguration of Barack Obama E28647 entity
Predicate typeOfCeremony P3305 FINISHED
Object public swearing-in ceremony 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: public swearing-in ceremony | Statement: [2009 U.S. presidential inauguration of Barack Obama, typeOfCeremony, public swearing-in ceremony]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfCeremony
Context triple: [2009 U.S. presidential inauguration of Barack Obama, typeOfCeremony, public swearing-in ceremony]
  • A. ceremonyType chosen
    Indicates the specific kind or category of ceremony associated with an event or relationship.
  • B. ceremonyIncludes
    Indicates that a particular ceremony contains, involves, or encompasses a specified component, activity, or element as part of its structure or proceedings.
  • C. ceremonyTiming
    Indicates the temporal relationship specifying when a ceremony occurs or is scheduled to occur.
  • D. ceremonyHeld
    Indicates that a formal ceremony or ritual event has taken place at a particular time and/or location.
  • E. ceremonialUse
    Indicates that something is used in a ritual, religious, or formal ceremony rather than for ordinary or practical purposes.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1c5f86c819098e98b046968954a completed March 1, 2026, 10:46 p.m.
PD Predicate disambiguation batch_69a4beef6a188190996f8775bdda8f6c completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:55 p.m.