Triple

T9075955
Position Surface form Disambiguated ID Type / Status
Subject Waterloo East station E217483 entity
Predicate hasPlatform P843 FINISHED
Object Platform A
Platform A is one of the passenger platforms at Waterloo East railway station in London, serving trains on its suburban and regional routes.
E776689 NE FINISHED

How this triple was built (4 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: Platform A | Statement: [Waterloo East station, hasPlatform, Platform A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Platform A
Context triple: [Waterloo East station, hasPlatform, Platform A]
  • A. Platform
    Platform is a competitive program at the Toronto International Film Festival that showcases bold, director-driven international cinema.
  • B. Platform 1
    Platform 1 is one of the passenger platforms at Widnes railway station in Cheshire, England, used for boarding and alighting from trains serving the station.
  • C. Platform 1
    Platform 1 is one of the passenger train platforms at Leicester railway station, serving services that call at this major rail hub in Leicestershire, England.
  • D. Platform 1
    Platform 1 is one of the passenger boarding platforms at Brentford railway station in London, serving trains on the local rail network.
  • E. Platform 1
    Platform 1 is one of the passenger boarding platforms at Lincoln railway station in Lincoln, England.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Platform A
Triple: [Waterloo East station, hasPlatform, Platform A]
Generated description
Platform A is one of the passenger platforms at Waterloo East railway station in London, serving trains on its suburban and regional routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Platform A
Target entity description: Platform A is one of the passenger platforms at Waterloo East railway station in London, serving trains on its suburban and regional routes.
  • A. Platform
    Platform is a competitive program at the Toronto International Film Festival that showcases bold, director-driven international cinema.
  • B. Platform 1
    Platform 1 is one of the passenger platforms at Widnes railway station in Cheshire, England, used for boarding and alighting from trains serving the station.
  • C. Platform 1
    Platform 1 is one of the passenger train platforms at Leicester railway station, serving services that call at this major rail hub in Leicestershire, England.
  • D. Platform 1
    Platform 1 is one of the passenger train platforms at Cambridge railway station in Cambridge, England.
  • E. Platform 1
    Platform 1 is one of the passenger boarding platforms at Lincoln railway station in Lincoln, England.
  • F. None of above. chosen

Provenance (5 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_69ca83d6c14c8190bc056d927f00a2a2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc95c53274819099b3b3047bfe8cc8 completed April 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe0fade4819093e4d1d91aca1d3f completed April 3, 2026, 5:51 p.m.
NEDg Description generation batch_69d0013b50e081909595efe822bf5565 completed April 3, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_69d001f04db48190aaa1fb9efb36df2b completed April 3, 2026, 6:07 p.m.
Created at: March 30, 2026, 7:12 p.m.