Triple
T27489371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairmount Corridor |
E693836
|
entity |
| Predicate | hasTransitServiceType |
P192554
|
FINISHED |
| Object | commuter rail corridor |
—
|
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: commuter rail corridor | Statement: [Fairmount Corridor, hasTransitServiceType, commuter rail corridor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransitServiceType Context triple: [Fairmount Corridor, hasTransitServiceType, commuter rail corridor]
-
A.
hasTransitAccessTo
Indicates that one place or entity is reachable from another via public or shared transportation services.
-
B.
hasPublicTransitServiceLevel
Indicates the level or quality of public transit service provided to or available at a given location or entity.
-
C.
hasBusServices
Indicates that one location or entity is served by bus routes or bus transportation provided by another.
-
D.
hasPublicTransitCoverageType
Indicates the type or category of public transit service coverage associated with an entity.
-
E.
hasCommuterServices
Indicates that a location or facility provides transportation services specifically intended for regular commuters, such as daily or frequent travelers between home and work or school.
- 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_69ef5382b9648190be0b1ef2ad5d043c |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
| PDg | Predicate description generation | batch_69fd19f6a7888190aa7eee2b87687c53 |
completed | May 7, 2026, 11:02 p.m. |
Created at: April 27, 2026, 1:04 p.m.