Triple

T14862521
Position Surface form Disambiguated ID Type / Status
Subject Niagara Park railway station E349531 entity
Predicate hasStationCode P1289 FINISHED
Object NPK
NPK is the station code used to identify Niagara Park railway station in New South Wales, Australia.
 E1123764 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: NPK | Statement: [Niagara Park railway station, hasStationCode, NPK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NPK
Context triple: [Niagara Park railway station, hasStationCode, NPK]
  • A. Nutrien
    Nutrien is a Canadian multinational agricultural company and the world’s largest producer of potash, also supplying nitrogen, phosphate, and crop inputs and services to farmers globally.
  • B. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • C. NK
    NK is the station code for Nashik Road railway station, a major rail hub serving the city of Nashik in Maharashtra, India.
  • D. NK
    NK is the vehicle registration code used on license plates for the Neunkirchen district in Germany.
  • E. NKG
    NKG is the IATA airport code for Nanjing Lukou International Airport, the main commercial airport serving Nanjing in eastern 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: NPK
Triple: [Niagara Park railway station, hasStationCode, NPK]
Generated description
NPK is the station code used to identify Niagara Park railway station in New South Wales, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NPK
Target entity description: NPK is the station code used to identify Niagara Park railway station in New South Wales, Australia.
  • A. Nutrien
    Nutrien is a Canadian multinational agricultural company and the world’s largest producer of potash, also supplying nitrogen, phosphate, and crop inputs and services to farmers globally.
  • B. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • C. NK
    NK is the vehicle registration code used on license plates for the Neunkirchen district in Germany.
  • D. NK
    NK is the station code for Nashik Road railway station, a major rail hub serving the city of Nashik in Maharashtra, India.
  • E. NKG
    NKG is the IATA airport code for Nanjing Lukou International Airport, the main commercial airport serving Nanjing in eastern 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded573cba881908d6d9ac570a64e5f completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe650c41b081909cdadbaec472eee3 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe66218cb88190b8c86b359abaa14c completed May 8, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_69fe66de57cc8190935d764d399f56f5 completed May 8, 2026, 10:42 p.m.
Created at: April 10, 2026, 1:54 a.m.