Triple

T29594551
Position Surface form Disambiguated ID Type / Status
Subject Zhang Xun E754257 entity
Predicate attemptedToRestore P43649 FINISHED
Object Qing monarchy 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: Qing monarchy | Statement: [Zhang Xun, attemptedToRestore, Qing monarchy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: attemptedToRestore
Context triple: [Zhang Xun, attemptedToRestore, Qing monarchy]
  • A. attemptedRestoration chosen
    Indicates an action where an entity makes an effort to restore or return another entity to a previous or desired state, condition, or form, regardless of whether the restoration succeeds.
  • B. laterRestored
    Indicates that something previously altered, damaged, or removed was subsequently brought back to its earlier state or condition.
  • C. restored
    Indicates that an entity has returned another entity to a previous or improved state, condition, or position after damage, loss, or alteration.
  • D. restoredBy
    Indicates that an entity has been returned to a previous or improved state through the actions or intervention of another entity.
  • E. wasRestoredAt
    Indicates that an entity was brought back to a previous or improved state at a specific time or place.
  • 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_69f0ef836ac88190bd809dc58b5ec907 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f66db6925481909220a05cf31fb741 completed May 2, 2026, 9:33 p.m.
PD Predicate disambiguation batch_69f66abfdaf08190a55f14c70be6fd4d completed May 2, 2026, 9:21 p.m.
Created at: April 28, 2026, 6:17 p.m.