Triple

T9874298
Position Surface form Disambiguated ID Type / Status
Subject Harrogate railway station E240034 entity
Predicate hasStationCode P1289 FINISHED
Object HGT
HGT is the National Rail station code for Harrogate railway station in North Yorkshire, England.
E826664 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: HGT | Statement: [Harrogate railway station, hasStationCode, HGT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HGT
Context triple: [Harrogate railway station, hasStationCode, HGT]
  • A. HVGT
    HVGT is the abbreviated name for Hornets Venom GT, the NBA 2K League esports team affiliated with the Charlotte Hornets.
  • B. HGI
    HGI is the IATA airport code for Donyi Polo Airport, a regional airport serving the town of Itanagar in Arunachal Pradesh, India.
  • C. HIG
    HIG is the stock ticker symbol for The Hartford Financial Services Group, a major U.S.-based insurance and investment company.
  • D. HTG
    HTG is the three-letter ISO 4217 currency code for the Haitian gourde, the official currency of Haiti.
  • E. HG
    HG is the postcode area designation covering Harrogate and surrounding parts of North Yorkshire, 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: HGT
Triple: [Harrogate railway station, hasStationCode, HGT]
Generated description
HGT is the National Rail station code for Harrogate railway station in North Yorkshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HGT
Target entity description: HGT is the National Rail station code for Harrogate railway station in North Yorkshire, England.
  • A. HVGT
    HVGT is the abbreviated name for Hornets Venom GT, the NBA 2K League esports team affiliated with the Charlotte Hornets.
  • B. HGI
    HGI is the IATA airport code for Donyi Polo Airport, a regional airport serving the town of Itanagar in Arunachal Pradesh, India.
  • C. HIG
    HIG is the stock ticker symbol for The Hartford Financial Services Group, a major U.S.-based insurance and investment company.
  • D. HTG
    HTG is the three-letter ISO 4217 currency code for the Haitian gourde, the official currency of Haiti.
  • E. HG
    HG is the postcode area designation covering Harrogate and surrounding parts of North Yorkshire, 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3f89fa081908b58956902c193cf completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e47515788190b6644021e187e771 completed April 5, 2026, 4:26 a.m.
NEDg Description generation batch_69d1e57366748190bf617374264d1873 completed April 5, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_69d1e5ed9818819095119c3478f97419 completed April 5, 2026, 4:32 a.m.
Created at: March 30, 2026, 8:37 p.m.