Triple

T22300568
Position Surface form Disambiguated ID Type / Status
Subject Paignton railway station E551242 entity
Predicate stationCode P1289 FINISHED
Object PGN
PGN is the three-letter National Rail station code for Paignton railway station in Devon, England.
 E1529736 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: PGN | Statement: [Paignton railway station, stationCode, PGN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PGN
Context triple: [Paignton railway station, stationCode, PGN]
  • A. PGN
    PGN is the vehicle registration code assigned to the city of Gniezno in Poland.
  • B. PGN
    PGN is the commonly used acronym for Colombia’s Office of the Inspector General, the state body responsible for overseeing public officials and safeguarding public interests.
  • C. PGN
    PGN is the three-letter station code for Parsons Green, a London Underground station on the District line in the London Borough of Hammersmith and Fulham.
  • D. SGF
    SGF is the station code for South Gosforth Metro station on the Tyne and Wear Metro network in Newcastle upon Tyne, England.
  • E. PGPL
    PGPL is the top professional football league in Iran, featuring the country’s leading clubs in the highest tier of its league system.
  • 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: PGN
Triple: [Paignton railway station, stationCode, PGN]
Generated description
PGN is the three-letter National Rail station code for Paignton railway station in Devon, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PGN
Target entity description: PGN is the three-letter National Rail station code for Paignton railway station in Devon, England.
  • A. PGN
    PGN is the vehicle registration code assigned to the city of Gniezno in Poland.
  • B. PGN
    PGN is the commonly used acronym for Colombia’s Office of the Inspector General, the state body responsible for overseeing public officials and safeguarding public interests.
  • C. PGN
    PGN is the three-letter station code for Parsons Green, a London Underground station on the District line in the London Borough of Hammersmith and Fulham.
  • D. SGF
    SGF is the station code for South Gosforth Metro station on the Tyne and Wear Metro network in Newcastle upon Tyne, England.
  • E. PGPL
    PGPL is the top professional football league in Iran, featuring the country’s leading clubs in the highest tier of its league system.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1572399148190853c4e91fcf9f38c completed April 29, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0acc9a42c881909a032c05465fa6b6 completed May 18, 2026, 8:23 a.m.
NEDg Description generation batch_6a0ace24be708190b663a32b53bef147 completed May 18, 2026, 8:30 a.m.
NED2 Entity disambiguation (via description) batch_6a0ace9c54dc8190acbd781fa672481b completed May 18, 2026, 8:32 a.m.
Created at: April 16, 2026, 8:41 p.m.