Triple

T9127612
Position Surface form Disambiguated ID Type / Status
Subject Su Su Nway E219003 entity
Predicate humanRightsArea P25890 FINISHED
Object workers’ rights — 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: workers’ rights | Statement: [Su Su Nway, humanRightsArea, workers’ rights]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: humanRightsArea
Context triple: [Su Su Nway, humanRightsArea, workers’ rights]
  • A. humanRightsConcern chosen
    Indicates a situation, action, or condition that raises issues related to the recognition, protection, or violation of human rights.
  • B. humanRightsSituation
    Indicates the overall condition, treatment, and respect for individuals’ fundamental rights and freedoms within a given context or jurisdiction.
  • C. notableHumanRightsOrganization
    Indicates that an entity is recognized as a significant organization actively involved in the promotion, protection, or advocacy of human rights.
  • D. rightsOrganization
    Indicates that an entity is an organization responsible for advocating, protecting, or promoting the rights or interests of another entity.
  • E. hasHumanitarianAspect
    Indicates that something involves, relates to, or has implications for humanitarian concerns such as human welfare, relief, or the protection of human rights.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8cad9c0819082d61f53865ef0b4 completed April 1, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69cc66003e3c819091e1e42c9cf7c781 completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:18 p.m.