Triple

T18925399
Position Surface form Disambiguated ID Type / Status
Subject Target 5.3 E462959 entity
Predicate belongsToGoal P120603 FINISHED
Object Gender equality 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: Gender equality | Statement: [Target 5.3, belongsToGoal, Gender equality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: belongsToGoal
Context triple: [Target 5.3, belongsToGoal, Gender equality]
  • A. goalAssociatedWith chosen
    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.
  • B. statedAsGoalFor
    Indicates that something has been explicitly declared or identified as a goal for a particular entity or context.
  • C. allegedGoal
    Indicates that one entity is claimed or reported to have the goal or intended objective of another entity, without asserting that the goal is actually true.
  • D. goalType
    Indicates the specific category or nature of a goal associated with an entity or action.
  • E. supportsGoalType
    Indicates that one entity is compatible with, or designed to facilitate, a particular type or category of goal.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9b94e008190a0e9a70aaf6d18ed completed April 20, 2026, 6:37 a.m.
PD Predicate disambiguation batch_69e4a2e9e6488190ba8df92c8058ed88 completed April 19, 2026, 9:39 a.m.
Created at: April 10, 2026, 11:59 a.m.