Triple

T6922643
Position Surface form Disambiguated ID Type / Status
Subject Kumamoto, Japan E160223 entity
Predicate hasReconstructionEffort P28319 FINISHED
Object post-2016 Kumamoto Castle restoration 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: post-2016 Kumamoto Castle restoration | Statement: [Kumamoto, Japan, hasReconstructionEffort, post-2016 Kumamoto Castle restoration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReconstructionEffort
Context triple: [Kumamoto, Japan, hasReconstructionEffort, post-2016 Kumamoto Castle restoration]
  • A. hasReconstructionWork chosen
    Indicates that an entity is undergoing, has undergone, or is associated with reconstruction or restoration work.
  • B. haveReconstructionWork
    Indicates that an entity is undergoing or is associated with reconstruction or restoration work.
  • C. containsReconstructionOf
    Indicates that one entity includes or incorporates a recreated, restored, or reconstructed version of another entity.
  • D. hasReconstructionStandard
    Indicates that something is associated with or governed by a specific standard or guideline for how it should be reconstructed.
  • E. hasReconstructionPurpose
    Indicates that something exists or is performed with the specific aim or function of reconstruction (e.g., rebuilding, restoring, or re-creating something).
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9fd159c819092a69d1a24e22dd5 completed March 27, 2026, 7:26 p.m.
PD Predicate disambiguation batch_69c6d7bb577c81908ee8b415b4281f3d completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:26 p.m.