Triple
T15074359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nockeby |
E379960
|
entity |
| Predicate | hasTramTerminus |
P44637
|
FINISHED |
| Object | Nockebybanan terminus |
—
|
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: Nockebybanan terminus | Statement: [Nockeby, hasTramTerminus, Nockebybanan terminus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTramTerminus Context triple: [Nockeby, hasTramTerminus, Nockebybanan terminus]
-
A.
hasTramDestination
chosen
Indicates that a tram route or service goes to or terminates at a specified destination.
-
B.
hasMetroTerminus
Indicates that one location serves as the terminal (end) station of a metro line for another location.
-
C.
hasTramway
Indicates that a location or area is served by, contains, or is connected to a tramway system.
-
D.
hasPublicTransportStop
Indicates that a location or area contains or is served by a public transport stop, such as a bus, tram, or train stop.
-
E.
hasBusStation
Indicates that a place or area contains or is served by a bus station.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fa0570819088a97b28173154cd |
completed | April 15, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69deb95a182081908fffc4402b02a394 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:02 a.m.