Triple

T13838735
Position Surface form Disambiguated ID Type / Status
Subject Via Lemovicensis E332594 entity
Predicate hasRouteCode P34375 FINISHED
Object GR 654 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: GR 654 | Statement: [Via Lemovicensis, hasRouteCode, GR 654]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRouteCode
Context triple: [Via Lemovicensis, hasRouteCode, GR 654]
  • A. hasRoute
    Indicates that there exists a path or connection enabling travel or communication from one entity to another.
  • B. hasRouteType
    Indicates that there is a specific kind or category of route associated with an entity (e.g., road, rail, bus line).
  • C. hasRouteIdentifier chosen
    Indicates that an entity is associated with a specific route code or identifier used to distinguish it from other routes.
  • D. hasRouteFeature
    Indicates that a route possesses or is associated with a specific characteristic, attribute, or feature.
  • E. hasNavigationCode
    Indicates that an entity is associated with a specific navigation code used to identify or guide its position, route, or access within a system or environment.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ac6b7c81908d44632d6d628339 completed April 14, 2026, 9:02 a.m.
PD Predicate disambiguation batch_69dbc86668e08190ba9135d1c3f38d35 completed April 12, 2026, 4:29 p.m.
Created at: April 9, 2026, 10:13 p.m.