Triple

T29387854
Position Surface form Disambiguated ID Type / Status
Subject Manchu Restoration of 1917 E745298 entity
Predicate governmentTarget P76478 FINISHED
Object Republic of China government in Beijing 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: Republic of China government in Beijing | Statement: [Manchu Restoration of 1917, governmentTarget, Republic of China government in Beijing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentTarget
Context triple: [Manchu Restoration of 1917, governmentTarget, Republic of China government in Beijing]
  • A. governingBodyTarget
    Indicates that an entity serves as the specific organization or body that is governed, overseen, or directed by another governing entity.
  • B. governingBodyTargeted chosen
    Indicates that an action or event is specifically directed at, aimed at, or intended to affect a governing body.
  • C. governmentClient
    Indicates a relationship where one entity serves as a client or customer of a government or governmental body.
  • D. federalTarget
    Indicates that an entity is the subject or object of action, regulation, investigation, or focus by a federal-level authority or institution.
  • E. government1
    Indicates that one entity functions as the governing authority or administration over another entity.
  • 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_69f0a79cfd5481909b4dde750cb8d2c6 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69ff0e9c75208190a4423261f00b79b3 completed May 9, 2026, 10:38 a.m.
PD Predicate disambiguation batch_69ff0e07f08481909c4ae322632a6bf0 completed May 9, 2026, 10:35 a.m.
Created at: April 28, 2026, 2:40 p.m.