Triple
T15422629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TTC Davisville Carhouse |
E369420
|
entity |
| Predicate | transitModeServed |
P31014
|
FINISHED |
| Object | heavy rail rapid transit |
—
|
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: heavy rail rapid transit | Statement: [TTC Davisville Carhouse, transitModeServed, heavy rail rapid transit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transitModeServed Context triple: [TTC Davisville Carhouse, transitModeServed, heavy rail rapid transit]
-
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.
hasPublicTransitRole
Indicates that an entity holds a specific functional role or responsibility within a public transit system.
-
D.
hasPublicTransitServiceLevel
Indicates the level or quality of public transit service provided to or available at a given location or entity.
-
E.
hasTransitAccessTo
Indicates that one place or entity is reachable from another via public or shared transportation services.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec032548190840b558dde6057c7 |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:20 a.m.