Triple

T2960904
Position Surface form Disambiguated ID Type / Status
Subject Hough Green railway station E80044 entity
Predicate stationCode P1289 FINISHED
Object HGN
HGN is the National Rail station code for Hough Green railway station in Cheshire, England.
 E313920 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: HGN | Statement: [Hough Green railway station, stationCode, HGN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HGN
Context triple: [Hough Green railway station, stationCode, HGN]
  • A. HG
    HG is the postcode area designation covering Harrogate and surrounding parts of North Yorkshire, England.
  • B. HGA
    HGA is a multidisciplinary architecture and engineering firm known for designing innovative, human-centered buildings and environments across sectors such as healthcare, education, and the arts.
  • C. HGF
    HGF is the abbreviation for the Helmholtz Association, Germany’s largest scientific research organization spanning multiple disciplines and large-scale facilities.
  • D. HIG
    HIG is the stock ticker symbol for The Hartford Financial Services Group, a major U.S.-based insurance and investment company.
  • E. BGN
    BGN is the official currency code for the Bulgarian lev, the national currency of Bulgaria.
  • 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: HGN
Triple: [Hough Green railway station, stationCode, HGN]
Generated description
HGN is the National Rail station code for Hough Green railway station in Cheshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HGN
Target entity description: HGN is the National Rail station code for Hough Green railway station in Cheshire, England.
  • A. HG
    HG is the postcode area designation covering Harrogate and surrounding parts of North Yorkshire, England.
  • B. HGA
    HGA is a multidisciplinary architecture and engineering firm known for designing innovative, human-centered buildings and environments across sectors such as healthcare, education, and the arts.
  • C. HGF
    HGF is the abbreviation for the Helmholtz Association, Germany’s largest scientific research organization spanning multiple disciplines and large-scale facilities.
  • D. HIG
    HIG is the stock ticker symbol for The Hartford Financial Services Group, a major U.S.-based insurance and investment company.
  • E. BGN
    BGN is the official currency code for the Bulgarian lev, the national currency of Bulgaria.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad995454448190834aa5d47a4ed5ac completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc923d888190a68075dfaa9e90b2 completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b0fd7d1cc88190a4f533a92d7e6de3 completed March 11, 2026, 5:28 a.m.
NED2 Entity disambiguation (via description) batch_69b0fde74b608190b59da720c90adfeb completed March 11, 2026, 5:30 a.m.
Created at: March 8, 2026, 2:57 p.m.