Triple

T344502
Position Surface form Disambiguated ID Type / Status
Subject Network Rail E6908 entity
Predicate owns P347 FINISHED
Object Reading railway station
Reading railway station is a major railway hub in Berkshire, England, serving as a key interchange on the Great Western Main Line and other routes.
 E43445 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: Reading railway station | Statement: [Network Rail, owns, Reading railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Reading railway station
Context triple: [Network Rail, owns, Reading railway station]
  • A. Bern railway station
    Bern railway station is the main railway hub of Switzerland’s capital city, serving as a central node for national and international train connections.
  • B. High Brooms railway station
    High Brooms railway station is a suburban rail stop serving the High Brooms area of Royal Tunbridge Wells in Kent, England, on the Hastings line.
  • C. Shirley station
    Shirley station is a commuter rail stop in Shirley, Massachusetts, serving passengers on the MBTA Fitchburg Line.
  • D. Woodland station
    Woodland station is a light rail stop on Boston’s MBTA Green Line D branch serving the Newton area.
  • E. Main Terminal Station
    Main Terminal Station is the primary AeroTrain stop serving the airport’s central passenger terminal complex.
  • 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: Reading railway station
Triple: [Network Rail, owns, Reading railway station]
Generated description
Reading railway station is a major railway hub in Berkshire, England, serving as a key interchange on the Great Western Main Line and other routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Reading railway station
Target entity description: Reading railway station is a major railway hub in Berkshire, England, serving as a key interchange on the Great Western Main Line and other routes.
  • A. Bern railway station
    Bern railway station is the main railway hub of Switzerland’s capital city, serving as a central node for national and international train connections.
  • B. High Brooms railway station
    High Brooms railway station is a suburban rail stop serving the High Brooms area of Royal Tunbridge Wells in Kent, England, on the Hastings line.
  • C. Shirley station
    Shirley station is a commuter rail stop in Shirley, Massachusetts, serving passengers on the MBTA Fitchburg Line.
  • D. Woodland station
    Woodland station is a light rail stop on Boston’s MBTA Green Line D branch serving the Newton area.
  • E. Main Terminal Station
    Main Terminal Station is the primary AeroTrain stop serving the airport’s central passenger terminal complex.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eb01261c81909280128b5ce75eff completed Feb. 28, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d4ea324c8190acd07727ca0ac193 completed March 1, 2026, 5:55 a.m.
NEDg Description generation batch_69a3d593afbc8190b7148201f890ac77 completed March 1, 2026, 5:58 a.m.
NED2 Entity disambiguation (via description) batch_69a3d659a1308190bad45dc2af33b3f3 completed March 1, 2026, 6:02 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.