Triple

T26237895
Position Surface form Disambiguated ID Type / Status
Subject Japanese defensive perimeter in the Central Pacific E656218 entity
Predicate constructionFeatures P163717 FINISHED
Object bunkers and pillboxes 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: bunkers and pillboxes | Statement: [Japanese defensive perimeter in the Central Pacific, constructionFeatures, bunkers and pillboxes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: constructionFeatures
Context triple: [Japanese defensive perimeter in the Central Pacific, constructionFeatures, bunkers and pillboxes]
  • A. constructionFeatures chosen
    Indicates the specific structural or design characteristics that define how something is built or assembled.
  • B. constructionCharacteristic
    Indicates a specific structural or material property that characterizes how something is built or constructed.
  • C. constructionType
    Indicates the specific method or style by which something is built or constructed.
  • D. featuresBuilding
    Indicates that one entity includes or incorporates a building as a notable component or characteristic.
  • E. constructionUses
    Indicates that a construction activity, project, or structure makes use of a specified material, method, tool, or resource.
  • 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_69ee5b4c59a881909d9ee4fd013fffd5 completed April 26, 2026, 6:37 p.m.
NER Named-entity recognition batch_69f63fd6c68481908c542aa03e297b9c completed May 2, 2026, 6:17 p.m.
PD Predicate disambiguation batch_69f63c6456608190b94e7c2e2c2a4824 completed May 2, 2026, 6:03 p.m.
Created at: April 26, 2026, 9:02 p.m.