Triple

T27152545
Position Surface form Disambiguated ID Type / Status
Subject Amanohashidate E682428 entity
Predicate matanozokiDescription P161915 FINISHED
Object viewing the sandbar upside down between one’s legs 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: viewing the sandbar upside down between one’s legs | Statement: [Amanohashidate, matanozokiDescription, viewing the sandbar upside down between one’s legs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: matanozokiDescription
Context triple: [Amanohashidate, matanozokiDescription, viewing the sandbar upside down between one’s legs]
  • A. KaumodakiOf
    Indicates that one entity is the Kaumodaki (the specific mace/weapon) associated with, possessed by, or emblematic of another entity.
  • B. MusubiConcept
    Indicates a conceptual or thematic connection between entities that are metaphorically or structurally “tied together” as a unified whole.
  • C. mokoroType
    Indicates that one entity is classified as a specific type or category of mokoro (a particular kind of canoe or boat).
  • D. يكسو
    Indicates covering or clothing something or someone with a layer, garment, or surface.
  • E. Juyo
    Indicates a relationship where one entity is associated with or characterized by the concept or style referred to as "Juyo."
  • 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_69eefaceb2a08190b9659b7f730629f5 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6250321088190ae3ed1dc9f2fcd03 completed May 2, 2026, 4:23 p.m.
PD Predicate disambiguation batch_69f61b40f02081909bd9c3ea73249163 completed May 2, 2026, 3:41 p.m.
PDg Predicate description generation batch_69f61fa35ac48190890102c348ed81a0 completed May 2, 2026, 4 p.m.
Created at: April 27, 2026, 9:15 a.m.