Triple

T7609808
Position Surface form Disambiguated ID Type / Status
Subject Kingston railway station E172204 entity
Predicate hasStationCode P1289 FINISHED
Object KNG
KNG is the National Rail station code for Kingston railway station in London, England.
 E677000 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: KNG | Statement: [Kingston railway station, hasStationCode, KNG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KNG
Context triple: [Kingston railway station, hasStationCode, KNG]
  • A. NG-KT
    NG-KT is the ISO 3166-2 code that uniquely identifies Katsina State within Nigeria.
  • B. NG-KO
    NG-KO is the ISO 3166-2 code that uniquely identifies Kogi State within Nigeria.
  • C. KND
    KND is the abbreviated name for the animated television series "Codename: Kids Next Door," which follows a group of child operatives fighting adult tyranny from their high-tech treehouse headquarters.
  • D. KGN
    KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
  • E. CKG
    CKG is the IATA airport code for Chongqing Jiangbei International Airport, a major aviation hub serving the city of Chongqing in southwest China.
  • 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: KNG
Triple: [Kingston railway station, hasStationCode, KNG]
Generated description
KNG is the National Rail station code for Kingston railway station in London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KNG
Target entity description: KNG is the National Rail station code for Kingston railway station in London, England.
  • A. NG-KT
    NG-KT is the ISO 3166-2 code that uniquely identifies Katsina State within Nigeria.
  • B. NG-KO
    NG-KO is the ISO 3166-2 code that uniquely identifies Kogi State within Nigeria.
  • C. KND
    KND is the abbreviated name for the animated television series "Codename: Kids Next Door," which follows a group of child operatives fighting adult tyranny from their high-tech treehouse headquarters.
  • D. KGN
    KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
  • E. CKG
    CKG is the IATA airport code for Chongqing Jiangbei International Airport, a major aviation hub serving the city of Chongqing in southwest China.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa20ac2c8190ac7ab90b4df406b6 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c868600c7c81909cdeebdb5b2bdaf3 completed March 28, 2026, 11:46 p.m.
NEDg Description generation batch_69c8690ef840819082ecaa16b5cf3f0c completed March 28, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_69c86b70a51c819091590ff094e6e784 completed March 28, 2026, 11:59 p.m.
Created at: March 27, 2026, 3:54 p.m.