Triple

T5480590
Position Surface form Disambiguated ID Type / Status
Subject BGCF E123456 entity
Predicate mayRouteTo P64268 FINISHED
Object another BGCF in a different network 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: another BGCF in a different network | Statement: [BGCF, mayRouteTo, another BGCF in a different network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayRouteTo
Context triple: [BGCF, mayRouteTo, another BGCF in a different network]
  • A. mayActThrough
    Indicates that an entity can exert influence, perform an action, or have an effect by means of another entity, mechanism, or intermediary.
  • B. mayRuleOver
    Indicates that one entity has the potential or permission to exercise authority or governance over another entity.
  • C. mayServe
    Indicates that one entity is permitted or authorized to provide a service or function to another entity.
  • D. mayAdvanceTo
    Indicates that one entity is permitted or eligible to progress, move, or be promoted to another specified state, level, or position.
  • E. followsRouteOf
    Indicates that one entity travels along the same path or route that another entity takes or has taken.
  • 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_69bd93e5d0f08190a6cc9fc408b7c5bb completed March 20, 2026, 6:37 p.m.
PD Predicate disambiguation batch_69bd91a73b148190a865243536a4fe76 completed March 20, 2026, 6:27 p.m.
PDg Predicate description generation batch_69bd93e4d2d081908eb75ee22fe72824 completed March 20, 2026, 6:37 p.m.
Created at: March 20, 2026, 2:09 p.m.