Triple

T105835
Position Surface form Disambiguated ID Type / Status
Subject Meiji era E2134 entity
Predicate reform P4888 FINISHED
Object modernization of the military 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: modernization of the military | Statement: [Meiji era, reform, modernization of the military]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reform
Context triple: [Meiji era, reform, modernization of the military]
  • A. refit
    Indicates that an existing object or structure is being modified, repaired, or equipped with new parts or features to restore or improve its function.
  • B. remedy
    Indicates that one entity serves to cure, alleviate, or counteract a problem, illness, or undesirable condition affecting another entity.
  • C. redesigned
    Indicates that an entity has been modified or created anew in terms of its structure, appearance, or functionality, replacing a previous design.
  • D. issue
    Indicates that an entity formally publishes, releases, or distributes something, such as a document, statement, or item, often in an official or authoritative capacity.
  • E. restriction
    Indicates a limiting condition or rule that constrains or controls what an entity can do, use, or access in relation to another entity or context.
  • F. None of above. chosen

Provenance (4 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a256ec650c8190bee2067e37065527 completed Feb. 28, 2026, 2:46 a.m.
PD Predicate disambiguation batch_69a2563d33788190999d471b486d5603 completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a256ea776081908fec36c3fdfb8d84 completed Feb. 28, 2026, 2:46 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.