Triple

T5479486
Position Surface form Disambiguated ID Type / Status
Subject OSPF E123434 entity
Predicate supportsNSSA P64018 FINISHED
Object yes 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: yes | Statement: [OSPF, supportsNSSA, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsNSSA
Context triple: [OSPF, supportsNSSA, yes]
  • A. supportedAs
    Indicates that one entity is accepted, recognized, or treated as being in the role, type, or representation of another entity.
  • B. supportsReach
    Indicates that one entity enables, facilitates, or maintains the ability of another entity to extend its influence, access, or coverage to additional targets or areas.
  • C. supportsRelayAgents
    Indicates that one entity is capable of working with or providing functionality for relay agents that forward or mediate communications between other entities.
  • D. supportsAspect
    Indicates that one entity provides backing, justification, or reinforcement for a particular aspect, feature, or component of another entity.
  • E. supportsRoamingWith
    Indicates that one entity enables or is compatible with another entity’s ability to operate or be accessed while roaming across different networks or locations.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9248ca348190aa116cace0f9b07a completed March 20, 2026, 6:30 p.m.
PD Predicate disambiguation batch_69bd91a58c448190904964a439045e05 completed March 20, 2026, 6:27 p.m.
PDg Predicate description generation batch_69bd9214b8488190979112c7615f359a completed March 20, 2026, 6:29 p.m.
Created at: March 20, 2026, 2:09 p.m.