Triple

T21095300
Position Surface form Disambiguated ID Type / Status
Subject Teshima E519749 entity
Predicate environmentalAction P5942 FINISHED
Object large-scale waste removal project 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: large-scale waste removal project | Statement: [Teshima, environmentalAction, large-scale waste removal project]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: environmentalAction
Context triple: [Teshima, environmentalAction, large-scale waste removal project]
  • A. environmentalImpactGoal
    Indicates a goal or target set to influence, reduce, or manage the environmental impact associated with an entity or activity.
  • B. environmentalFocus
    Indicates a relationship where an entity prioritizes or concentrates on environmental issues, impacts, or sustainability in its actions or policies.
  • C. environmentalProgram chosen
    Indicates that an entity is involved in, associated with, or constitutes a program or initiative aimed at protecting, managing, or improving the environment.
  • D. environmentalProtectionGoal
    Indicates a goal or objective specifically aimed at protecting, preserving, or improving the natural environment.
  • E. environmentalIssueAddressed
    Indicates that an action, policy, or entity is aimed at tackling, mitigating, or resolving a specific environmental problem or concern.
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b5845f88190a16f3df157f0906c completed April 21, 2026, 6:38 a.m.
PD Predicate disambiguation batch_69e5dbfcd5e881908f1e4e0d2d237856 completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 2:52 p.m.