Triple

T5429813
Position Surface form Disambiguated ID Type / Status
Subject Southampton Central E121455 entity
Predicate hasPlatform P843 FINISHED
Object Platform 1
Platform 1 is one of the passenger train platforms at Southampton Central railway station in Southampton, England.
E519561 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: [Southampton Central, hasPlatform, Platform 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Platform 1
Context triple: [Southampton Central, hasPlatform, Platform 1]
  • A. Platform 1
    Platform 1 is one of the passenger train platforms at Cambridge railway station in Cambridge, England.
  • 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 boarding platforms at Brentford railway station in London, serving trains on the local rail network.
  • D. Platform 1
    Platform 1 is one of the passenger boarding platforms at Lincoln railway station in Lincoln, England.
  • E. Platform 4
    Platform 4 is one of the passenger train 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 1
Triple: [Southampton Central, hasPlatform, Platform 1]
Generated description
Platform 1 is one of the passenger train platforms at Southampton Central railway station in Southampton, England.
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 train platforms at Southampton Central railway station in Southampton, England.
  • A. Platform 1
    Platform 1 is one of the passenger train platforms at Cambridge railway station in Cambridge, England.
  • 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 boarding platforms at Brentford railway station in London, serving trains on the local rail network.
  • D. Platform 1
    Platform 1 is one of the passenger boarding platforms at Lincoln railway station in Lincoln, England.
  • E. Platform 4
    Platform 4 is one of the passenger train 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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd883d1bfc8190859bb05cfab065c8 completed March 20, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3ac6285081909afa6e91a023f6d5 completed March 22, 2026, 12:41 a.m.
NEDg Description generation batch_69bf3c43ffe88190b8d2a10ea8a9a455 completed March 22, 2026, 12:48 a.m.
NED2 Entity disambiguation (via description) batch_69bf3ce7d6388190a9cd22f76f4420e0 completed March 22, 2026, 12:50 a.m.
Created at: March 20, 2026, 2:06 p.m.