Triple

T2925311
Position Surface form Disambiguated ID Type / Status
Subject Widnes railway station E78828 entity
Predicate hasPlatform P843 FINISHED
Object 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.
 E310505 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 1 | Statement: [Widnes railway station, hasPlatform, Platform 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Platform 1
Context triple: [Widnes railway station, hasPlatform, Platform 1]
  • A. Platform 1
    Platform 1 is one of the passenger train platforms at Cambridge railway station in Cambridge, England.
  • B. Platform 4
    Platform 4 is one of the passenger platforms at Blackpool North railway station, serving trains on this key terminus in the seaside resort of Blackpool, England.
  • C. Platform 5
    Platform 5 is one of the passenger train platforms at Cardiff Queen Street railway station in Cardiff, Wales.
  • D. Platform 5
    Platform 5 is one of the passenger platforms at Blackpool North railway station, serving trains on this major terminus in the seaside resort of Blackpool, England.
  • E. Platform
    Platform is a competitive program at the Toronto International Film Festival that showcases bold, director-driven international cinema.
  • 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 1
Triple: [Widnes railway station, hasPlatform, Platform 1]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Platform 1
Target entity description: 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.
  • A. Platform 1
    Platform 1 is one of the passenger train platforms at Cambridge railway station in Cambridge, England.
  • B. Platform 4
    Platform 4 is one of the passenger platforms at Blackpool North railway station, serving trains on this key terminus in the seaside resort of Blackpool, England.
  • C. Platform 5
    Platform 5 is one of the passenger train platforms at Cardiff Queen Street railway station in Cardiff, Wales.
  • D. Platform 5
    Platform 5 is one of the passenger platforms at Blackpool North railway station, serving trains on this major terminus in the seaside resort of Blackpool, England.
  • E. Platform
    Platform is a competitive program at the Toronto International Film Festival that showcases bold, director-driven international cinema.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97c086888190ba51ce659a6c4f50 completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0563a81788190b94fab34e41a76e7 completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b062a0f74c8190943739f4cda3c614 completed March 10, 2026, 6:27 p.m.
NED2 Entity disambiguation (via description) batch_69b0631e65e88190bd425222c60637db completed March 10, 2026, 6:29 p.m.
Created at: March 8, 2026, 2:55 p.m.