Triple

T2180574
Position Surface form Disambiguated ID Type / Status
Subject Sheffield railway station E49031 entity
Predicate stationCode P1289 FINISHED
Object SHF
SHF is the National Rail station code for Sheffield railway station, a major rail hub in South Yorkshire, England.
 E241334 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: SHF | Statement: [Sheffield railway station, stationCode, SHF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SHF
Context triple: [Sheffield railway station, stationCode, SHF]
  • A. SHR
    SHR is the three-letter National Rail station code assigned to Shrewsbury railway station in Shropshire, England.
  • B. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • C. SF
    SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
  • D. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • E. SHVO
    SHVO is a New York–based real estate investment and development firm known for acquiring and redeveloping high-profile luxury and landmark properties.
  • 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: SHF
Triple: [Sheffield railway station, stationCode, SHF]
Generated description
SHF is the National Rail station code for Sheffield railway station, a major rail hub in South Yorkshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SHF
Target entity description: SHF is the National Rail station code for Sheffield railway station, a major rail hub in South Yorkshire, England.
  • A. SHR
    SHR is the three-letter National Rail station code assigned to Shrewsbury railway station in Shropshire, England.
  • B. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • C. SF
    SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
  • D. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • E. SHVO
    SHVO is a New York–based real estate investment and development firm known for acquiring and redeveloping high-profile luxury and landmark properties.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbef0e2f0819080ca457fe3b8b419 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da5930c819087e71a609f76e269 completed March 9, 2026, 5:41 a.m.
NEDg Description generation batch_69ae5e4a45a08190bd96af6cda06ab35 completed March 9, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ec4a35c8190bffc7a183497e764 completed March 9, 2026, 5:46 a.m.
Created at: March 4, 2026, 7:45 p.m.