Triple

T26478009
Position Surface form Disambiguated ID Type / Status
Subject Midtstuen station E666092 entity
Predicate servedByLineNumber P102647 FINISHED
Object Line 1
Line 1 is a metro line of the Oslo Metro system in Norway, running through stations such as Midtstuen.
 E1726364 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: Line 1 | Statement: [Midtstuen station, servedByLineNumber, Line 1]
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: Line 1
Triple: [Midtstuen station, servedByLineNumber, Line 1]
Generated description
Line 1 is a metro line of the Oslo Metro system in Norway, running through stations such as Midtstuen.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: servedByLineNumber
Context triple: [Midtstuen station, servedByLineNumber, Line 1]
  • A. servedByLine
    Indicates that a transportation stop, station, or location is provided service by a specific transit line.
  • B. servedByLineType
    Indicates that a service, stop, or route is operated or covered by a specific type of transit line.
  • C. lineServed
    Indicates that a particular transportation line (such as a bus, train, or metro line) provides service to or is operated at a given stop, station, or route segment.
  • D. formerLineServed
    Indicates that a particular transit line previously provided service to a route, station, or area but no longer does so.
  • E. serviceNumberOrEquivalent chosen
    Indicates that one entity specifies the service number or an equivalent identifying code associated with another entity.
  • 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_69ee883f80dc819090e311b022b78e02 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f7805ce6208190ac6dbd9c97989978 completed May 3, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11aed569ac81908bfb73dc5df4cd5c completed May 23, 2026, 1:42 p.m.
NEDg Description generation batch_6a11af68d97c81908ccb1af29de6b417 completed May 23, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_6a11b02a01f4819088f0f84f9ca335af completed May 23, 2026, 1:48 p.m.
PD Predicate disambiguation batch_69f77956ec648190ba4fb7e9d83fd107 completed May 3, 2026, 4:35 p.m.
Created at: April 27, 2026, 12:25 a.m.