Triple

T1631926
Position Surface form Disambiguated ID Type / Status
Subject BGP E35274 entity
Predicate topologyScope P1372 FINISHED
Object inter-AS 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: inter-AS | Statement: [BGP, topologyScope, inter-AS]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: topologyScope
Context triple: [BGP, topologyScope, inter-AS]
  • A. hasTopology
    Indicates that one entity possesses, exhibits, or is characterized by a particular structural or spatial configuration defined by the other entity.
  • B. scopeType
    Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
  • C. topology chosen
    Indicates the structural or spatial arrangement and connectivity pattern among components within a system.
  • D. locationScope
    Indicates the specific geographic or spatial area within which a given relationship, condition, or action is considered valid or applicable.
  • E. operationalScope
    Indicates the range, extent, or boundaries within which an entity, process, or activity is authorized or designed to operate.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9431af5ac8190893133f1ae490142 completed March 5, 2026, 8:47 a.m.
PD Predicate disambiguation batch_69a907c91c888190b6ed295c1a2e0977 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:28 p.m.