Triple

T25089516
Position Surface form Disambiguated ID Type / Status
Subject Chiang Kai-shek statues E628414 entity
Predicate timeOfMajorRemovals P31792 FINISHED
Object after lifting of martial law in Taiwan 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: after lifting of martial law in Taiwan | Statement: [Chiang Kai-shek statues, timeOfMajorRemovals, after lifting of martial law in Taiwan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeOfMajorRemovals
Context triple: [Chiang Kai-shek statues, timeOfMajorRemovals, after lifting of martial law in Taiwan]
  • A. periodOfMajorRemains
    Indicates the historical time period during which the primary surviving remains or artifacts associated with something were created or are dated.
  • B. removalPeriod chosen
    Indicates the time span during which something is taken away, deleted, or otherwise removed from availability or consideration.
  • C. timePeriodOfMajorShrinkage
    Indicates the time period during which a significant reduction or contraction of something occurs.
  • D. timePeriodOfMajorDestruction
    Indicates the time span during which a major destructive event affecting the subject occurred.
  • E. laterRemovedTo
    Indicates that an entity was moved or transferred to a location or state at a later time, after an earlier condition or placement.
  • 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_69e2ff2f58e881908340527bc5d34f07 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f55e519978819087a1676564a74630 completed May 2, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69f4a0edd10c81908a052ab864d57c54 completed May 1, 2026, 12:47 p.m.
Created at: April 18, 2026, 6:24 a.m.