Triple

T3503587
Position Surface form Disambiguated ID Type / Status
Subject Manchester encoding E74022 entity
Predicate robustnessProperty P43585 FINISHED
Object tolerant to baseline wander 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: tolerant to baseline wander | Statement: [Manchester encoding, robustnessProperty, tolerant to baseline wander]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: robustnessProperty
Context triple: [Manchester encoding, robustnessProperty, tolerant to baseline wander]
  • A. convergenceProperty
    Indicates that one entity has a convergence-related characteristic or behavior with respect to another entity, such as approaching a limit or stabilizing under repeated application.
  • B. typeOfResistance chosen
    Indicates the kind or category of resistance that characterizes how an entity opposes, impedes, or withstands another entity or influence.
  • C. isStrongerProtectionThan
    Indicates that one form of protection provides a higher level of security, defense, or safeguarding compared to another.
  • D. hasStabilityLevel
    Indicates that something possesses a particular degree or state of stability, often quantified or categorized along a defined scale.
  • E. providesProtectionAgainst
    Indicates that one entity serves to guard, shield, or defend another entity from a specified harm, threat, or adverse effect.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbf0c2b48190b49923137bb9e45d completed March 8, 2026, 6:12 p.m.
PD Predicate disambiguation batch_69adae0cd8b0819099da300af09880da completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:18 p.m.