Triple
T25204317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exo Vaudreuil–Hudson line |
E631206
|
entity |
| Predicate | openedForCommuterService |
P162085
|
FINISHED |
| Object | late 19th century |
—
|
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: late 19th century | Statement: [Exo Vaudreuil–Hudson line, openedForCommuterService, late 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedForCommuterService Context triple: [Exo Vaudreuil–Hudson line, openedForCommuterService, late 19th century]
-
A.
openedForBusService
Indicates that a facility, route, or location has begun operating and is available for use by public bus services.
-
B.
openedForTram
Indicates that something (such as a route, track, or facility) is available and in use for tram operations.
-
C.
openedForThroughService
Indicates that an entity has been made accessible or available specifically for use via a through-service connection or route, rather than as a standalone endpoint.
-
D.
openedForShuttleService
Indicates that a location or facility has begun operating to provide shuttle transportation services.
-
E.
openedForTransilienService
Indicates that a facility or location was officially opened to provide Transilien rail service.
- F. None of above. chosen
Provenance (4 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_69e75a8b86c4819089eda22c843b739f |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f622abdfac8190988421c946411d7e |
completed | May 2, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621fbfc2c8190bfa802d7dc0f6aa4 |
completed | May 2, 2026, 4:10 p.m. |
Created at: April 21, 2026, 12:52 p.m.