Triple

T13636946
Position Surface form Disambiguated ID Type / Status
Subject Random Early Detection E325872 entity
Predicate configurationChallenge P31731 FINISHED
Object sensitive to parameter settings 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: sensitive to parameter settings | Statement: [Random Early Detection, configurationChallenge, sensitive to parameter settings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: configurationChallenge
Context triple: [Random Early Detection, configurationChallenge, sensitive to parameter settings]
  • A. configuration
    Indicates that one entity specifies or defines the arrangement, setup, or parameter settings under which another entity operates or is structured.
  • B. challengeType chosen
    Indicates the specific category or kind of challenge associated with an action or relationship between entities.
  • C. issuedChallengeFor
    Indicates that one entity has formally presented or posed a challenge for another entity to undertake or respond to.
  • D. configurationVia
    Indicates that one entity is set up, customized, or controlled through another entity serving as its configuration mechanism or source.
  • E. postConflictChallenge
    Indicates the difficulties, tensions, or obstacles that arise between parties after a conflict has formally ended.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc60635d08190899806fe8936f02a completed April 12, 2026, 4:19 p.m.
PD Predicate disambiguation batch_69dbbe85e1c4819095194f4b7f9f6118 completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 9:51 p.m.