Triple

T5892274
Position Surface form Disambiguated ID Type / Status
Subject 栗林忠道 E131017 entity
Predicate 戦術的特徴 P50132 FINISHED
Object 徹底した持久防御戦術 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: 徹底した持久防御戦術 | Statement: [栗林忠道, 戦術的特徴, 徹底した持久防御戦術]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 戦術的特徴
Context triple: [栗林忠道, 戦術的特徴, 徹底した持久防御戦術]
  • A. tacticalStyle chosen
    Indicates the characteristic way in which an entity plans and executes actions or maneuvers to achieve its objectives.
  • B. tactic
    Indicates a strategic method or maneuver employed by one entity to influence, counter, or gain advantage over another in a specific context.
  • C. militaryCharacteristic
    Indicates that one entity possesses a specific military-related attribute, quality, or feature in relation to another entity or context.
  • D. hasTacticalMobility
    Indicates the capability of an entity to move or be repositioned quickly and effectively within a tactical or operational context.
  • E. tacticalFormation
    Indicates a specific strategic arrangement or positioning of entities relative to one another to achieve a tactical objective.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0400f1af881908d376ea4793f6dea completed March 22, 2026, 7:16 p.m.
PD Predicate disambiguation batch_69c0334dc8248190b7394dcece362d52 completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 3:58 p.m.