Triple

T20337176
Position Surface form Disambiguated ID Type / Status
Subject 10GBASE-R PCS E495643 entity
Predicate errorDetectionMechanism P108684 FINISHED
Object alignment marker and block lock monitoring 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: alignment marker and block lock monitoring | Statement: [10GBASE-R PCS, errorDetectionMechanism, alignment marker and block lock monitoring]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: errorDetectionMechanism
Context triple: [10GBASE-R PCS, errorDetectionMechanism, alignment marker and block lock monitoring]
  • A. errorDetectionMethod chosen
    Indicates the method or technique used to detect errors in a process, system, or data.
  • B. errorDetectionCapability
    Indicates the ability of an entity to detect the presence of errors in data, processes, or operations.
  • C. detected
    Indicates that an entity has observed, identified, or discovered the presence or occurrence of another entity or event.
  • D. requiresDetectionOf
    Indicates that one entity can only occur, be valid, or proceed if another entity has first been detected or identified.
  • E. reliabilityMechanism
    Indicates a mechanism or process that ensures the dependable, consistent, and correct functioning of a system or relationship.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677ed75e081909bfc534033ac1c59 completed April 20, 2026, 7:01 p.m.
PD Predicate disambiguation batch_69e5762655ac8190a8cc48a29fa2c0c4 completed April 20, 2026, 12:41 a.m.
Created at: April 16, 2026, 11:23 a.m.