Triple
T6079133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslo public transport network |
E135477
|
entity |
| Predicate | hasBusComponent |
P22144
|
FINISHED |
| Object | Oslo bus network |
—
|
LITERAL FINISHED |
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 bus network | Statement: [Oslo public transport network, hasBusComponent, Oslo bus network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBusComponent Context triple: [Oslo public transport network, hasBusComponent, Oslo bus network]
-
A.
hasBusLoop
Indicates that a location or facility includes a designated looped roadway or area specifically for bus circulation, stopping, or turning.
-
B.
supportsBusController
Indicates that one entity provides the necessary functionality or compatibility to operate, manage, or interface with a bus controller for another entity.
-
C.
hasComponentStation
chosen
Indicates that an entity includes or is associated with a specific station as one of its component parts.
-
D.
hasBusOperator
Indicates that a bus service, route, or vehicle is operated or managed by a specific operator or company.
-
E.
hasBusServices
Indicates that one location or entity is served by bus routes or bus transportation provided by another.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0577209b88190afe5b1365cf6436d |
completed | March 22, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69c049f21fe08190995df3c5c05fb8ea |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:11 p.m.