Triple

T34279964
Position Surface form Disambiguated ID Type / Status
Subject Kibo E879564 entity
Predicate agencyContributionTo P55967 FINISHED
Object Japanese contribution to the ISS 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: Japanese contribution to the ISS | Statement: [Kibo, agencyContributionTo, Japanese contribution to the ISS]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: agencyContributionTo
Context triple: [Kibo, agencyContributionTo, Japanese contribution to the ISS]
  • A. administrativeContribution
    Indicates that an entity contributes effort, resources, or support to the administrative or organizational management of another entity or activity.
  • B. tributeTo
    Indicates that one entity is created, given, or dedicated as a mark of respect, admiration, or honor toward another entity.
  • C. missionContribution chosen
    Indicates that an entity plays a role in supporting, advancing, or fulfilling the mission or overarching purpose of another entity or organization.
  • D. exportContribution
    Indicates the extent to which an entity’s activities or outputs contribute to exports from a given region, sector, or economy.
  • E. agency
    Indicates that an entity acts on behalf of, represents, or exercises power or control for another entity in performing an action or fulfilling a role.
  • 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_69f349b5f6648190b9420d94a4cd16e0 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71362f1448190985a80ce7af475cb completed May 3, 2026, 9:20 a.m.
PD Predicate disambiguation batch_69f7127884388190884f23d181a65d19 completed May 3, 2026, 9:16 a.m.
Created at: May 1, 2026, 1:57 a.m.