Triple

T20205488
Position Surface form Disambiguated ID Type / Status
Subject Penryn railway station E493338 entity
Predicate hasStationCode P1289 FINISHED
Object PYN
PYN is the National Rail station code for Penryn railway station in Cornwall, England.
 E1418271 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: PYN | Statement: [Penryn railway station, hasStationCode, PYN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PYN
Context triple: [Penryn railway station, hasStationCode, PYN]
  • A. Pyp
    Pyp is a member of the Night's Watch in the "A Song of Ice and Fire" novels and the "Game of Thrones" television series, known for his wit and close friendship with Jon Snow and Samwell Tarly.
  • B. PY
    PY is the two-letter ISO 3166-1 alpha-2 country code assigned to Paraguay.
  • C. Pyr
    Pyr is a science fiction and fantasy publishing imprint known for releasing speculative fiction titles under the Prometheus Books umbrella.
  • D. PYG
    PYG is the National Rail station code for Paisley Gilmour Street, a major railway station in Paisley, Scotland.
  • E. Pym
    Pym is an English surname most notably associated with John Pym, a leading parliamentary figure in the early stages of the English Civil War.
  • 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: PYN
Triple: [Penryn railway station, hasStationCode, PYN]
Generated description
PYN is the National Rail station code for Penryn railway station in Cornwall, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PYN
Target entity description: PYN is the National Rail station code for Penryn railway station in Cornwall, England.
  • A. Pyp
    Pyp is a member of the Night's Watch in the "A Song of Ice and Fire" novels and the "Game of Thrones" television series, known for his wit and close friendship with Jon Snow and Samwell Tarly.
  • B. PY
    PY is the two-letter ISO 3166-1 alpha-2 country code assigned to Paraguay.
  • C. Pyr
    Pyr is a science fiction and fantasy publishing imprint known for releasing speculative fiction titles under the Prometheus Books umbrella.
  • D. PYG
    PYG is the National Rail station code for Paisley Gilmour Street, a major railway station in Paisley, Scotland.
  • E. Pym
    Pym is an English surname most notably associated with John Pym, a leading parliamentary figure in the early stages of the English Civil War.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d913c088190b80b251fba5c368f completed April 20, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0843ecd72c8190a605ccb8af032795 completed May 16, 2026, 10:16 a.m.
NEDg Description generation batch_6a0845193350819088523da3087fe421 completed May 16, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_6a0845e241048190ba7fb657d4dca3d7 completed May 16, 2026, 10:24 a.m.
Created at: April 11, 2026, 11:38 p.m.