Triple

T20324717
Position Surface form Disambiguated ID Type / Status
Subject Näsbypark railway station E492301 entity
Predicate hasStationCode P1289 FINISHED
Object NÄP
NÄP is the station code for Näsbypark railway station on the Roslagsbanan narrow-gauge railway network in Täby, Sweden.
 E1423443 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: NÄP | Statement: [Näsbypark railway station, hasStationCode, NÄP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NÄP
Context triple: [Näsbypark railway station, hasStationCode, NÄP]
  • A. NAP
    NAP is the publishing arm of the U.S. National Academies that produces and disseminates authoritative reports on science, engineering, and medicine.
  • B. NAP
    NAP is the IATA airport code for Naples International Airport, the main air gateway serving the city of Naples in southern Italy.
  • C. NPA
    NPA is the central national law enforcement body of Japan responsible for overseeing police operations and public security across the country.
  • D. NPA
    NPA is the FAA location identifier for Naval Air Station Pensacola, a major U.S. Navy aviation training base in Florida.
  • E. NPA
    NPA is the acronym commonly used for the Nigerian Ports Authority, the government agency responsible for managing and regulating Nigeria’s seaports.
  • 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: NÄP
Triple: [Näsbypark railway station, hasStationCode, NÄP]
Generated description
NÄP is the station code for Näsbypark railway station on the Roslagsbanan narrow-gauge railway network in Täby, Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NÄP
Target entity description: NÄP is the station code for Näsbypark railway station on the Roslagsbanan narrow-gauge railway network in Täby, Sweden.
  • A. NAP
    NAP is the publishing arm of the U.S. National Academies that produces and disseminates authoritative reports on science, engineering, and medicine.
  • B. NAP
    NAP is the IATA airport code for Naples International Airport, the main air gateway serving the city of Naples in southern Italy.
  • C. NPA
    NPA is the central national law enforcement body of Japan responsible for overseeing police operations and public security across the country.
  • D. NPA
    NPA is the FAA location identifier for Naval Air Station Pensacola, a major U.S. Navy aviation training base in Florida.
  • E. NPA
    NPA is the acronym commonly used for the Nigerian Ports Authority, the government agency responsible for managing and regulating Nigeria’s seaports.
  • 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778e59508190bfd7a3ce44d56a93 completed April 20, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08612cc2c0819092d074fda6f0d995 completed May 16, 2026, 12:21 p.m.
NEDg Description generation batch_6a086264e3408190847a995f3538c70b completed May 16, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_6a0863b6dd84819089344a5ff28bf0cf completed May 16, 2026, 12:31 p.m.
Created at: April 16, 2026, 11:21 a.m.