Triple

T18101719
Position Surface form Disambiguated ID Type / Status
Subject Hucknall railway station E433235 entity
Predicate hasStationCode P1289 FINISHED
Object HKN
HKN is the National Rail station code for Hucknall railway station in Nottinghamshire, England.
E1305642 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: HKN | Statement: [Hucknall railway station, hasStationCode, HKN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HKN
Context triple: [Hucknall railway station, hasStationCode, HKN]
  • A. HKN
    HKN is the station code for Hankou Railway Station, a major rail transport hub in Wuhan, China.
  • B. HKNW
    HKNW is the ICAO airport code assigned to Wilson Airport in Nairobi, Kenya.
  • C. HKN Music
    HKN Music is a Nigerian record label and music collective known for nurturing Afrobeats artists and collaborating closely with Davido and his musical affiliates.
  • D. KHPN
    KHPN is the ICAO airport code for Westchester County Airport, a regional airport serving Westchester County, New York and the surrounding area.
  • E. HCKE
    HCKE is the official abbreviation for HC Košice, a professional ice hockey club based in Košice, Slovakia.
  • 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: HKN
Triple: [Hucknall railway station, hasStationCode, HKN]
Generated description
HKN is the National Rail station code for Hucknall railway station in Nottinghamshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HKN
Target entity description: HKN is the National Rail station code for Hucknall railway station in Nottinghamshire, England.
  • A. HKN
    HKN is the station code for Hankou Railway Station, a major rail transport hub in Wuhan, China.
  • B. HKNW
    HKNW is the ICAO airport code assigned to Wilson Airport in Nairobi, Kenya.
  • C. HKN Music
    HKN Music is a Nigerian record label and music collective known for nurturing Afrobeats artists and collaborating closely with Davido and his musical affiliates.
  • D. KHPN
    KHPN is the ICAO airport code for Westchester County Airport, a regional airport serving Westchester County, New York and the surrounding area.
  • E. HCKE
    HCKE is the official abbreviation for HC Košice, a professional ice hockey club based in Košice, Slovakia.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb6fed8819090798683353a5c08 completed April 19, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a035da3eacc81908b847c7ae3b45fc2 completed May 12, 2026, 5:04 p.m.
NEDg Description generation batch_6a036083e0f88190b7065f5de80f259e completed May 12, 2026, 5:16 p.m.
NED2 Entity disambiguation (via description) batch_6a0360ec1c908190a99080990793e519 completed May 12, 2026, 5:18 p.m.
Created at: April 10, 2026, 10:28 a.m.