Triple
T10032324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEPTA Route 15 |
E204879
|
entity |
| Predicate | cityTransitMode |
P31014
|
FINISHED |
| Object | surface trolley |
—
|
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: surface trolley | Statement: [SEPTA Route 15, cityTransitMode, surface trolley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityTransitMode Context triple: [SEPTA Route 15, cityTransitMode, surface trolley]
-
A.
publicTransitMode
Indicates the type of public transportation (e.g., bus, train, subway) used or associated with a given trip or segment.
-
B.
hasPublicTransitMode
chosen
Indicates that a location, route, or service is associated with or supports a specific mode of public transportation (e.g., bus, train, tram).
-
C.
isPublicTransport
Indicates that the entity functions as a mode or instance of transportation that is available for use by the general public, typically operating on fixed routes or schedules.
-
D.
providesUrbanTransport
Indicates that one entity supplies or operates transportation services within an urban or city environment for another entity or the public.
-
E.
hasPublicTransitRole
Indicates that an entity holds a specific functional role or responsibility within a public transit 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce47845c8190ab5696267fdedcad |
completed | April 2, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8638508190b22acc65500ec7d6 |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:54 p.m.