Triple

T29264060
Position Surface form Disambiguated ID Type / Status
Subject Matsuyama Castle E741926 entity
Predicate hasDefensiveDesign P75813 FINISHED
Object complex layout with multiple baileys 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: complex layout with multiple baileys | Statement: [Matsuyama Castle, hasDefensiveDesign, complex layout with multiple baileys]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDefensiveDesign
Context triple: [Matsuyama Castle, hasDefensiveDesign, complex layout with multiple baileys]
  • A. hasDefenseStrategy
    Indicates that an entity employs or is associated with a particular plan or set of measures designed to protect against threats or attacks.
  • B. hasDefensiveWork chosen
    Indicates that an entity possesses or is associated with a work focused on defense or protective functions.
  • C. hasDefensiveAppearance
    Indicates that an entity possesses a visual or structural trait that serves to protect it or deter potential threats.
  • D. defensiveSystem
    Indicates a system or mechanism whose primary function is to protect, guard, or defend an entity against threats or attacks.
  • E. hasDefensivePositions
    Indicates that an entity possesses or controls locations, structures, or arrangements specifically organized for defense against potential threats or attacks.
  • 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_69f0912065c08190bddd23e20e8ef18e completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69fd2a215d6c8190a1a428ccaee603f1 completed May 8, 2026, 12:11 a.m.
PD Predicate disambiguation batch_69fd28ef19688190bb8370f2812a43e7 completed May 8, 2026, 12:06 a.m.
Created at: April 28, 2026, 12:43 p.m.