Triple

T37405296
Position Surface form Disambiguated ID Type / Status
Subject London Buses route 381 E929110 entity
Predicate hasRealTimeInformationProvidedBy P130745 FINISHED
Object TfL Countdown system
The TfL Countdown system is Transport for London’s real-time passenger information service that provides live bus arrival times at stops and via digital platforms across the city.
 E2226111 NE FINISHED

How this triple was built (3 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: TfL Countdown system | Statement: [London Buses route 381, hasRealTimeInformationProvidedBy, TfL Countdown system]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TfL Countdown system
Triple: [London Buses route 381, hasRealTimeInformationProvidedBy, TfL Countdown system]
Generated description
The TfL Countdown system is Transport for London’s real-time passenger information service that provides live bus arrival times at stops and via digital platforms across the city.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasRealTimeInformationProvidedBy
Context triple: [London Buses route 381, hasRealTimeInformationProvidedBy, TfL Countdown system]
  • A. hasRealTimeInformation
    Indicates that up-to-date, continuously refreshed information is available about the related entity or event.
  • B. supportsRealTime chosen
    Indicates that one entity provides or enables real-time operation, processing, or interaction for another entity or process.
  • C. providesInformationIn
    Indicates that one entity supplies or conveys information within or through another entity or context.
  • D. hasTimetableInformationDisplays
    Indicates that an entity is equipped with displays that present timetable or schedule information.
  • E. hasTimeIndication
    Indicates that something includes, specifies, or is associated with a particular time-related indication (such as a timestamp, time period, or temporal marker).
  • F. None of above.

Provenance (6 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_69f76ebbf79c8190b85bbcf3a6be57e4 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40770de5088190a601ce6aa6ba5a7d completed June 28, 2026, 1:21 a.m.
NEDg Description generation batch_6a407afbff1481909f3811523a7ba4dd completed June 28, 2026, 1:38 a.m.
NED2 Entity disambiguation (via description) batch_6a407b77f850819095c3bbb42ce753c4 completed June 28, 2026, 1:40 a.m.
PD Predicate disambiguation batch_6a037a13a1308190a202df66f4781855 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:16 p.m.