Triple

T6963774
Position Surface form Disambiguated ID Type / Status
Subject Spooner Row railway station E161435 entity
Predicate stationCode P1289 FINISHED
Object SPN
SPN is the National Rail station code for Spooner Row railway station in Norfolk, England.
 E630584 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: SPN | Statement: [Spooner Row railway station, stationCode, SPN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SPN
Context triple: [Spooner Row railway station, stationCode, SPN]
  • A. SPN
    SPN is the IATA airport code for Saipan International Airport, the main air gateway to Saipan in the Northern Mariana Islands.
  • B. nSP
    nSP is the commonly used abbreviation for the United Kingdom’s New State Pension system introduced for people reaching State Pension age on or after 6 April 2016.
  • C. SPS
    SPS is a high-energy circular particle accelerator at CERN that serves as a key injector for the Large Hadron Collider and supports a wide range of physics experiments.
  • D. SPS
    SPS is the abbreviation of the Socialist Party of Serbia, a major left-wing political party in Serbia.
  • E. SPP
    SPP is the Supreme People's Procuratorate of China, the highest national agency responsible for legal prosecution and supervision of law enforcement in the country.
  • 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: SPN
Triple: [Spooner Row railway station, stationCode, SPN]
Generated description
SPN is the National Rail station code for Spooner Row railway station in Norfolk, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SPN
Target entity description: SPN is the National Rail station code for Spooner Row railway station in Norfolk, England.
  • A. SPN
    SPN is the IATA airport code for Saipan International Airport, the main air gateway to Saipan in the Northern Mariana Islands.
  • B. nSP
    nSP is the commonly used abbreviation for the United Kingdom’s New State Pension system introduced for people reaching State Pension age on or after 6 April 2016.
  • C. SPS
    SPS is a high-energy circular particle accelerator at CERN that serves as a key injector for the Large Hadron Collider and supports a wide range of physics experiments.
  • D. SPS
    SPS is the abbreviation of the Socialist Party of Serbia, a major left-wing political party in Serbia.
  • E. SPP
    SPP is the Supreme People's Procuratorate of China, the highest national agency responsible for legal prosecution and supervision of law enforcement in the country.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daf2b7bc8190a3e73f3b24f0352b completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c758a0e5bc819098206940fc3ac623 completed March 28, 2026, 4:27 a.m.
NEDg Description generation batch_69c759553fe081909881c8d2ae680dfe completed March 28, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_69c759c79de48190bd3e079c07a9158a completed March 28, 2026, 4:32 a.m.
Created at: March 27, 2026, 2:30 p.m.