Triple

T17933727
Position Surface form Disambiguated ID Type / Status
Subject Crewkerne railway station E448398 entity
Predicate hasStationCode P1289 FINISHED
Object CKN
CKN is the National Rail station code for Crewkerne railway station in Somerset, England.
E1296466 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: CKN | Statement: [Crewkerne railway station, hasStationCode, CKN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CKN
Context triple: [Crewkerne railway station, hasStationCode, CKN]
  • A. CNK
    CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
  • B. KNA
    KNA is the ICAO airline designator assigned to Kunming Airlines, a Chinese carrier based in Kunming, Yunnan.
  • C. KNA
    KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
  • D. KKNK
    KKNK is a major annual Afrikaans-language arts and culture festival held in Oudtshoorn, South Africa, showcasing theatre, music, visual arts, and literature.
  • E. KNF
    KNF is the IATA airport code for RAF Marham, a Royal Air Force station in Norfolk, 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: CKN
Triple: [Crewkerne railway station, hasStationCode, CKN]
Generated description
CKN is the National Rail station code for Crewkerne railway station in Somerset, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CKN
Target entity description: CKN is the National Rail station code for Crewkerne railway station in Somerset, England.
  • A. CNK
    CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
  • B. KNA
    KNA is the ICAO airline designator assigned to Kunming Airlines, a Chinese carrier based in Kunming, Yunnan.
  • C. KNA
    KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
  • D. KKNK
    KKNK is a major annual Afrikaans-language arts and culture festival held in Oudtshoorn, South Africa, showcasing theatre, music, visual arts, and literature.
  • E. KNF
    KNF is the IATA airport code for RAF Marham, a Royal Air Force station in Norfolk, 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a5547b7881909dc41bb7dd34194f completed April 19, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03213a24b48190aad2297210e86d78 completed May 12, 2026, 12:46 p.m.
NEDg Description generation batch_6a0322181a5c8190b34ea80445fc5596 completed May 12, 2026, 12:50 p.m.
NED2 Entity disambiguation (via description) batch_6a0322a4c9448190823e9fdc03ea9f90 completed May 12, 2026, 12:52 p.m.
Created at: April 10, 2026, 10:21 a.m.