Triple

T18985828
Position Surface form Disambiguated ID Type / Status
Subject Target 5.4 E464556 entity
Predicate associatedGoal P120603 FINISHED
Object Achieve gender equality and empower all women and girls 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: Achieve gender equality and empower all women and girls | Statement: [Target 5.4, associatedGoal, Achieve gender equality and empower all women and girls]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedGoal
Context triple: [Target 5.4, associatedGoal, Achieve gender equality and empower all women and girls]
  • 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. legacyGoal
    Indicates that an entity has a long-term, enduring objective or impact it aims to leave behind beyond its immediate actions or existence.
  • C. supportGoal
    Indicates that one entity actively helps, promotes, or contributes to the achievement of another entity’s goal.
  • D. goalIn
    Indicates that one entity’s objective, aim, or intended outcome is located within, directed toward, or achieved inside another entity or context.
  • E. goalType
    Indicates the specific category or nature of a goal associated with an entity or action.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65f7f08819088f56e8e030851b1 completed April 20, 2026, 7:31 a.m.
PD Predicate disambiguation batch_69e4a2f88e0c81908cb20f08bf24cd32 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 12:01 p.m.