Triple

T3698439
Position Surface form Disambiguated ID Type / Status
Subject Sentinelese language E78512 entity
Predicate documentationEthicalIssues P18695 FINISHED
Object high 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: high | Statement: [Sentinelese language, documentationEthicalIssues, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: documentationEthicalIssues
Context triple: [Sentinelese language, documentationEthicalIssues, high]
  • A. hasEthicalDimension chosen
    Indicates that the relationship, action, or situation involves moral considerations, value judgments, or ethical implications.
  • B. legalAndEthicalDebate
    Indicates a relationship where an issue, action, or decision is the subject of ongoing discussion and disagreement concerning both its legality and its ethical acceptability.
  • C. ethicalDebate
    Indicates a relationship where parties are engaged in discussing, questioning, or disputing the moral rightness or wrongness of actions, policies, or principles.
  • D. ethicalInstruction
    Indicates that one entity provides guidance, teaching, or directives to another entity about moral principles or ethical behavior.
  • E. positionOnEthics
    Indicates a stance, viewpoint, or opinion that an entity holds regarding ethical principles, issues, or practices.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc512ba188190a15bcacafac3f476 completed March 8, 2026, 6:50 p.m.
PD Predicate disambiguation batch_69adb84dc5808190850aa6975cb09e27 completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:26 p.m.