Triple

T21654834
Position Surface form Disambiguated ID Type / Status
Subject State Route 288 E534431 entity
Predicate bypassFor P124712 FINISHED
Object through traffic around Richmond 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: through traffic around Richmond | Statement: [State Route 288, bypassFor, through traffic around Richmond]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bypassFor
Context triple: [State Route 288, bypassFor, through traffic around Richmond]
  • A. bypassType
    Indicates the specific kind or method of bypass used to circumvent or route around a normal process, path, or control.
  • B. bypassedVia chosen
    Indicates that one entity is avoided, skipped, or circumvented by using another specified means, route, or method.
  • C. bypassFunction
    Indicates that one function or process is used to circumvent, skip, or avoid the normal behavior or execution path of another function or mechanism.
  • D. hasBypass
    Indicates that one entity includes or is equipped with an alternative route or mechanism that circumvents or avoids another entity or process.
  • E. bypassName
    Indicates that an entity is known or referred to by an alternative name used specifically for bypassing or circumventing a standard process, route, or restriction.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef59176b28819092384fc5f8968022 completed April 27, 2026, 12:39 p.m.
PD Predicate disambiguation batch_69e696826c3c81909270791e79760937 completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:36 p.m.