Triple

T38267053
Position Surface form Disambiguated ID Type / Status
Subject Stockholm congestion tax E1021091 entity
Predicate chargingZone P190593 FINISHED
Object inner city of Stockholm 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: inner city of Stockholm | Statement: [Stockholm congestion tax, chargingZone, inner city of Stockholm]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: chargingZone
Context triple: [Stockholm congestion tax, chargingZone, inner city of Stockholm]
  • A. chargingLocation
    Indicates the place or facility where an entity is being or can be charged (e.g., electrically powered or re-energized).
  • B. chargingInterface
    Indicates that one entity serves as a power/energy charging connection or port used by another entity.
  • C. charging
    Indicates that one entity is supplying electrical energy to another entity’s battery or power storage system.
  • D. chargingNetworkCompatibility
    Indicates that one entity’s charging system is compatible with, and can be used on, another entity’s charging network.
  • E. chargingModel
    Indicates the pricing or billing scheme applied to an entity, such as how costs are calculated or charged.
  • 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_69f76dee198c8190bf5109421e47a658 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fccbd826708190b5fab12c4236299a completed May 7, 2026, 5:28 p.m.
PD Predicate disambiguation batch_69fcc58838e08190b8fa54aa5c165f2d completed May 7, 2026, 5:02 p.m.
PDg Predicate description generation batch_69fccbd6b7688190b746803cf78d5704 completed May 7, 2026, 5:28 p.m.
Created at: May 3, 2026, 4:30 p.m.