Triple

T9874385
Position Surface form Disambiguated ID Type / Status
Subject Headingley railway station E240036 entity
Predicate stationCode P1289 FINISHED
Object HDY
HDY is the National Rail station code for Headingley railway station in Leeds, West Yorkshire, England.
 E826667 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: HDY | Statement: [Headingley railway station, stationCode, HDY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HDY
Context triple: [Headingley railway station, stationCode, HDY]
  • A. HDY
    HDY is the IATA airport code for Hat Yai International Airport in southern Thailand, a key regional hub serving the city of Hat Yai and the surrounding area.
  • B. HTT gene
    The HTT gene encodes the huntingtin protein, and mutations in this gene—particularly CAG trinucleotide repeat expansions—cause Huntington's disease, a progressive neurodegenerative disorder.
  • C. SMN2
    SMN2 is a human gene that produces a backup form of survival motor neuron protein and is a key therapeutic target in spinal muscular atrophy.
  • D. HFE
    HFE is the IATA airport code for Hefei Xinqiao International Airport, serving the city of Hefei in eastern China.
  • E. PKU
    PKU is a leading Chinese research university in Beijing renowned for its rigorous academics, influential alumni, and historic campus.
  • 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: HDY
Triple: [Headingley railway station, stationCode, HDY]
Generated description
HDY is the National Rail station code for Headingley railway station in Leeds, West Yorkshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HDY
Target entity description: HDY is the National Rail station code for Headingley railway station in Leeds, West Yorkshire, England.
  • A. HDY
    HDY is the IATA airport code for Hat Yai International Airport in southern Thailand, a key regional hub serving the city of Hat Yai and the surrounding area.
  • B. HTT gene
    The HTT gene encodes the huntingtin protein, and mutations in this gene—particularly CAG trinucleotide repeat expansions—cause Huntington's disease, a progressive neurodegenerative disorder.
  • C. SMN2
    SMN2 is a human gene that produces a backup form of survival motor neuron protein and is a key therapeutic target in spinal muscular atrophy.
  • D. HFE
    HFE is the IATA airport code for Hefei Xinqiao International Airport, serving the city of Hefei in eastern China.
  • E. PKU
    PKU is a leading Chinese research university in Beijing renowned for its rigorous academics, influential alumni, and historic campus.
  • 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.