Triple

T10187047
Position Surface form Disambiguated ID Type / Status
Subject professional recognition committee E236937 entity
Predicate seeksToAvoid P92600 FINISHED
Object bias in recognition decisions 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: bias in recognition decisions | Statement: [professional recognition committee, seeksToAvoid, bias in recognition decisions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seeksToAvoid
Context triple: [professional recognition committee, seeksToAvoid, bias in recognition decisions]
  • A. designedToAvoid
    Indicates that something was intentionally created or configured in a way that prevents or minimizes a particular outcome, condition, or interaction.
  • B. triedToAvoid
    Indicates an entity made an effort or took action to prevent contact with, involvement in, or the occurrence of another entity or situation.
  • C. avoidanceStrategy
    Indicates a relationship where one entity deliberately takes actions or adopts behaviors to evade, minimize, or escape interaction, contact, or confrontation with another entity or situation.
  • D. avoidsRoute
    Indicates that an entity deliberately does not use or travel along a particular route.
  • E. mustAvoid
    Indicates that one entity is required to stay away from, not engage with, or prevent interaction with another entity or condition.
  • F. None of above. chosen

Provenance (4 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded790b488190b1ed4645554873cd completed April 2, 2026, 4:15 a.m.
PD Predicate disambiguation batch_69cd7c79f21c8190a7f31b2eab80b8ba completed April 1, 2026, 8:13 p.m.
PDg Predicate description generation batch_69cd7edc6cf081909d95859d880a4059 completed April 1, 2026, 8:23 p.m.
Created at: March 30, 2026, 9:12 p.m.