Triple

T30778432
Position Surface form Disambiguated ID Type / Status
Subject Snaresbrook tube station E783742 entity
Predicate convertedToTubeOperationBy P23777 FINISHED
Object London Transport Executive
The London Transport Executive was the public body responsible for overseeing and operating London's integrated bus, tram, and Underground network in the mid-20th century.
E416881 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: London Transport Executive | Statement: [Snaresbrook tube station, convertedToTubeOperationBy, London Transport Executive]
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: London Transport Executive
Triple: [Snaresbrook tube station, convertedToTubeOperationBy, London Transport Executive]
Generated description
The London Transport Executive was the public body responsible for overseeing and operating London's integrated bus, tram, and Underground network in the mid-20th century.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: convertedToTubeOperationBy
Context triple: [Snaresbrook tube station, convertedToTubeOperationBy, London Transport Executive]
  • A. convertedBy chosen
    Indicates that one entity has been transformed or changed in form, state, or representation through the action or process performed by another entity.
  • B. convertsTo
    Indicates that one entity is transformed or changed into another entity, typically resulting in a different state, form, or representation.
  • C. convertedToSteamOperation
    Indicates that an entity or process has been transformed into, or replaced by, a steam-based operation.
  • D. conversionWave
    Indicates a process in which changes or transformations spread through entities or states in a sequential, wave-like manner.
  • E. conversionProcess
    Indicates a process in which something is transformed or changed from one state, form, or representation into another.
  • 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_69f224b213c8819083886073f90b647e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f71996e1a48190ac59a1d66d7c44e8 completed May 3, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28b0a010408190bac3b0e5a7d706bb completed June 10, 2026, 12:32 a.m.
NEDg Description generation batch_6a28b1ecd9448190a88b0f465f97a8ba completed June 10, 2026, 12:38 a.m.
NED2 Entity disambiguation (via description) batch_6a28b28e61f881908ea11ba5951789bd completed June 10, 2026, 12:40 a.m.
PD Predicate disambiguation batch_69f71820c6c88190ab38b4fa626d22cc completed May 3, 2026, 9:40 a.m.
Created at: April 29, 2026, 8:41 p.m.