Triple

T7658109
Position Surface form Disambiguated ID Type / Status
Subject Human Enhancement E173435 entity
Predicate hasOpponentPosition P75206 FINISHED
Object bioconservative critique of enhancement 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: bioconservative critique of enhancement | Statement: [Human Enhancement, hasOpponentPosition, bioconservative critique of enhancement]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOpponentPosition
Context triple: [Human Enhancement, hasOpponentPosition, bioconservative critique of enhancement]
  • A. hasOpposingSide
    Indicates that one entity possesses or is associated with another entity that lies on the opposite or facing side relative to a reference orientation or boundary.
  • B. hasOpponentAction
    Indicates that one entity performs an action that is in opposition or direct competition to the action of another entity.
  • C. opponentState
    Indicates the condition or status that an opposing party or competitor is currently in within a given context or interaction.
  • D. hasPositionOn
    Indicates that one entity occupies or holds a specific role, job, or spatial location relative to another entity.
  • E. positionOpposed chosen
    Indicates that two entities hold positions or stances that are in direct conflict or opposition to each other.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7061cbc3c8190a917dd7e71214182 completed March 27, 2026, 10:35 p.m.
PD Predicate disambiguation batch_69c7015dd8fc8190bc5f52a12bd46209 completed March 27, 2026, 10:14 p.m.
Created at: March 27, 2026, 3:59 p.m.