Triple
T33713225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Follo Line |
E863797
|
entity |
| Predicate | improvesCapacityOn |
P9426
|
FINISHED |
| Object | Oslo–Ski rail corridor |
—
|
NE NERFINISHED |
How this triple was built (2 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]
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 (3 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. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:43 a.m.