Triple

T4046745
Position Surface form Disambiguated ID Type / Status
Subject Swiss motorway network E84083 entity
Predicate speedLimitTrucks P2129 FINISHED
Object 80 km/h 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: 80 km/h | Statement: [Swiss motorway network, speedLimitTrucks, 80 km/h]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: speedLimitTrucks
Context triple: [Swiss motorway network, speedLimitTrucks, 80 km/h]
  • A. speedLimitCharacteristic
    Indicates that an entity has a specific speed limit property or constraint associated with it.
  • B. hasSpeedLimit chosen
    Indicates that a specified maximum allowable speed is imposed on the associated entity or context.
  • C. hasSpeedLimitRange
    Indicates that there is a specified minimum and maximum speed limit applicable to a given context or segment.
  • D. regulatesSpeedLimitBy
    Indicates that one entity determines, controls, or sets the speed limit applicable to another entity or context.
  • E. trafficRestriction
    Indicates a limitation or prohibition on the movement or flow of traffic between entities, such as vehicles, routes, or areas.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb62593c8190ab8462c4d9cd9d08 completed March 9, 2026, 4:54 p.m.
PD Predicate disambiguation batch_69aef900386481909d04555a9ec9b0e3 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:37 p.m.