Triple

T26398990
Position Surface form Disambiguated ID Type / Status
Subject Label Distribution Protocol E663648 entity
Predicate discoversNeighborsUsing P64012 FINISHED
Object LDP Hello messages 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: LDP Hello messages | Statement: [Label Distribution Protocol, discoversNeighborsUsing, LDP Hello messages]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: discoversNeighborsUsing
Context triple: [Label Distribution Protocol, discoversNeighborsUsing, LDP Hello messages]
  • A. usesNeighborDiscovery chosen
    Indicates that an entity employs a neighbor discovery mechanism to detect, identify, or maintain information about adjacent or nearby entities in a network or environment.
  • B. hasNearbyDiscovery
    Indicates that one entity has a discovery located in close physical or spatial proximity to it.
  • C. inUniverseNeighbor
    Indicates that two entities are neighbors within the same fictional or defined universe or setting.
  • D. outerNeighbor
    Indicates that one entity is adjacent to another from the outside, typically sharing a boundary but not being contained within it.
  • E. innerNeighbor
    Indicates that one entity is directly adjacent to another entity on the inside or interior side of a boundary or structure.
  • 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_69ee883823988190b418b111be28a44a completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f65f7731e4819099d5bd3d915ee266 completed May 2, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69f65c1f94ac8190bc6fbc7916fc0d82 completed May 2, 2026, 8:18 p.m.
Created at: April 26, 2026, 11:30 p.m.