Triple

T13943639
Position Surface form Disambiguated ID Type / Status
Subject Rose Hill Marple railway station E335320 entity
Predicate hasStationCode P1289 FINISHED
Object RSH
RSH is the National Rail station code for Rose Hill Marple railway station in Greater Manchester, England.
E1069346 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: RSH | Statement: [Rose Hill Marple railway station, hasStationCode, RSH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RSH
Context triple: [Rose Hill Marple railway station, hasStationCode, RSH]
  • A. RSH
    RSH is the National Rail station code for Ramsgreave and Wilpshire railway station in Lancashire, England.
  • B. Rsh
    Rsh is a protocol used within the Hydra ecosystem, likely related to its communication or operational framework.
  • C. R.S.H.M.
    R.S.H.M. is the abbreviation for the Religious of the Sacred Heart of Mary, a Roman Catholic religious institute dedicated to education, social justice, and pastoral ministry.
  • D. RISH
    RISH is a Kyoto University research institute dedicated to advancing sustainable development of the Earth's living environment and human habitat (the "humanosphere") through interdisciplinary science and technology.
  • E. RuSHA
    RuSHA was a Nazi SS office responsible for implementing racial policies, including racial selection, resettlement, and the persecution and displacement of populations in occupied territories.
  • 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: RSH
Triple: [Rose Hill Marple railway station, hasStationCode, RSH]
Generated description
RSH is the National Rail station code for Rose Hill Marple railway station in Greater Manchester, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RSH
Target entity description: RSH is the National Rail station code for Rose Hill Marple railway station in Greater Manchester, England.
  • A. RSH
    RSH is the National Rail station code for Ramsgreave and Wilpshire railway station in Lancashire, England.
  • B. Rsh
    Rsh is a protocol used within the Hydra ecosystem, likely related to its communication or operational framework.
  • C. R.S.H.M.
    R.S.H.M. is the abbreviation for the Religious of the Sacred Heart of Mary, a Roman Catholic religious institute dedicated to education, social justice, and pastoral ministry.
  • D. RISH
    RISH is a Kyoto University research institute dedicated to advancing sustainable development of the Earth's living environment and human habitat (the "humanosphere") through interdisciplinary science and technology.
  • E. RuSHA
    RuSHA was a Nazi SS office responsible for implementing racial policies, including racial selection, resettlement, and the persecution and displacement of populations in occupied territories.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e0f6f3c8190a64058b732b0ac52 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce8da5908190aab069dc9b74b083 completed May 3, 2026, 10:39 p.m.
NEDg Description generation batch_69f7cf47d05481909b06b37ac1ed5427 completed May 3, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69f7cfee80a881909de648b20043bf6d completed May 3, 2026, 10:45 p.m.
Created at: April 9, 2026, 10:17 p.m.