Triple
T21903582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ecublens |
E540871
|
entity |
| Predicate | hasTramOrMetroStop |
P15438
|
FINISHED |
| Object | EPFL metro station |
—
|
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: EPFL metro station | Statement: [Ecublens, hasTramOrMetroStop, EPFL metro station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTramOrMetroStop Context triple: [Ecublens, hasTramOrMetroStop, EPFL metro station]
-
A.
hasPublicTransportStop
chosen
Indicates that a location or area contains or is served by a public transport stop, such as a bus, tram, or train stop.
-
B.
hasMetroTerminus
Indicates that one location serves as the terminal (end) station of a metro line for another location.
-
C.
hasTramTrainLine
Indicates that there exists a tram-train line connection or service linking the related entities.
-
D.
hasTramDestination
Indicates that a tram route or service goes to or terminates at a specified destination.
-
E.
hasTramway
Indicates that a location or area is served by, contains, or is connected to a tramway system.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d3c23081908c30c3a617002389 |
completed | April 28, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:25 p.m.