Triple

T25134440
Position Surface form Disambiguated ID Type / Status
Subject Great Longstone E629615 entity
Predicate hasRailwayStationFormer P89322 FINISHED
Object Great Longstone railway station
Great Longstone railway station was a former rural stop on the Midland Railway’s line in Derbyshire, England, serving the village of Great Longstone and the surrounding Peak District area.
E1667836 NE FINISHED

How this triple was built (3 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: Great Longstone railway station | Statement: [Great Longstone, hasRailwayStationFormer, Great Longstone railway station]
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: Great Longstone railway station
Triple: [Great Longstone, hasRailwayStationFormer, Great Longstone railway station]
Generated description
Great Longstone railway station was a former rural stop on the Midland Railway’s line in Derbyshire, England, serving the village of Great Longstone and the surrounding Peak District area.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRailwayStationFormer
Context triple: [Great Longstone, hasRailwayStationFormer, Great Longstone railway station]
  • A. hadRailwayStation chosen
    Indicates that a place or area previously possessed a railway station, which may no longer be in existence or operation.
  • B. formerRailwayStation
    Indicates that a location previously functioned as a railway station but is no longer in active railway service.
  • C. hasRailwayStationRole
    Indicates that an entity holds or is assigned a specific functional role or capacity within the operation or management of a railway station.
  • D. hasRailwayStation
    Indicates that a place or location is served by, or contains, a railway station.
  • E. hasRailwayStationOn
    Indicates that a railway station is located on or serves a particular railway line, route, or network segment.
  • F. None of above.

Provenance (6 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_69e2ff338250819096ff6c8892804389 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f465fdb83c81909ee750f7afdc15da completed May 1, 2026, 8:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105cfe6d9481908731068356ab5ba8 completed May 22, 2026, 1:41 p.m.
NEDg Description generation batch_6a105e161df88190ba6a36e7581cd4ae completed May 22, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_6a105f91c8808190b902d606e0ad6d0e completed May 22, 2026, 1:52 p.m.
PD Predicate disambiguation batch_69f45cfb53f4819099bba48c5057e787 completed May 1, 2026, 7:57 a.m.
Created at: April 18, 2026, 6:28 a.m.