Triple

T20934720
Position Surface form Disambiguated ID Type / Status
Subject Green Premium E515552 entity
Predicate goalRelated P6636 FINISHED
Object reducing the Green Premium to zero or below for key sectors 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: reducing the Green Premium to zero or below for key sectors | Statement: [Green Premium, goalRelated, reducing the Green Premium to zero or below for key sectors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: goalRelated
Context triple: [Green Premium, goalRelated, reducing the Green Premium to zero or below for key sectors]
  • A. goalIn
    Indicates that one entity’s objective, aim, or intended outcome is located within, directed toward, or achieved inside another entity or context.
  • B. goalType
    Indicates the specific category or nature of a goal associated with an entity or action.
  • C. goals chosen
    Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
  • D. goalAssociatedWith
    Indicates that a goal is connected or linked to another entity, such as an activity, plan, or outcome, in a way that reflects relevance or influence.
  • E. goalStructure
    Indicates the overarching objective or intended outcome that organizes and guides the structure of related actions, components, or relationships.
  • 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f950d5e081908ec0df4824cf69f7 completed April 21, 2026, 4:13 a.m.
PD Predicate disambiguation batch_69e5c9af1fe08190953366a466950140 completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:49 p.m.