Triple

T33713225
Position Surface form Disambiguated ID Type / Status
Subject Follo Line E863797 entity
Predicate improvesCapacityOn P9426 FINISHED
Object Oslo–Ski rail corridor
The Oslo–Ski rail corridor is a key Norwegian railway route connecting central Oslo with the town of Ski, serving as a major commuter and regional transport artery in the Oslo region.
 E2064140 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: Oslo–Ski rail corridor | Statement: [Follo Line, improvesCapacityOn, Oslo–Ski rail corridor]
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: Oslo–Ski rail corridor
Triple: [Follo Line, improvesCapacityOn, Oslo–Ski rail corridor]
Generated description
The Oslo–Ski rail corridor is a key Norwegian railway route connecting central Oslo with the town of Ski, serving as a major commuter and regional transport artery in the Oslo region.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: improvesCapacityOn
Context triple: [Follo Line, improvesCapacityOn, Oslo–Ski rail corridor]
  • A. expandedCapacity chosen
    Indicates that an entity’s capacity has been increased beyond its previous or standard level.
  • B. improvesOn
    Indicates that one entity enhances, refines, or performs better than another entity, typically by addressing its limitations or increasing its effectiveness.
  • C. expandableCapacity
    Indicates that an entity’s capacity can be increased beyond its initial or default level, typically through additional resources, components, or configuration.
  • D. improvesIn
    Indicates that one entity causes or contributes to an increase in quality, performance, or effectiveness in another entity or context.
  • E. laterCapacity
    Indicates that one entity’s capacity or capability occurs, becomes available, or is realized at a later time than another’s.
  • 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_69f3498844608190bb8f9b14908d2510 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fabe07848190bd4f14ac6dfa35b6 completed May 3, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a363ca78aec8190bc179bf0f30da38e completed June 20, 2026, 7:09 a.m.
NEDg Description generation batch_6a365674ecb481909f0e56ce3277c6b4 completed June 20, 2026, 8:59 a.m.
NED2 Entity disambiguation (via description) batch_6a3656e722f48190b33ac5217c8a9921 completed June 20, 2026, 9:01 a.m.
PD Predicate disambiguation batch_69f6f96dd4c8819093d6a7bd046a9ad5 completed May 3, 2026, 7:29 a.m.
Created at: May 1, 2026, 1:43 a.m.