Triple
T26515913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 495 in New York |
E669810
|
entity |
| Predicate | suburbanRoute |
P65485
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Interstate 495 in New York, suburbanRoute, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suburbanRoute Context triple: [Interstate 495 in New York, suburbanRoute, yes]
-
A.
isSuburbanRouteOf
chosen
Indicates that a given route functions as a suburban segment or service line belonging to, or operating as part of, a larger primary route or network.
-
B.
openedAsSuburbanRoute
Indicates that a transportation route was originally inaugurated specifically to serve suburban areas or commuter traffic.
-
C.
suburbanBelt
Indicates that one area forms a suburban belt or ring surrounding another, typically as a zone of residential or peripheral development around a core urban center.
-
D.
roadMode
Indicates the mode or type of transportation being used on a road within the described relationship or action.
-
E.
modernTransportRoute
Indicates a transportation route that uses contemporary or up-to-date modes, infrastructure, or standards for moving people or goods between locations.
- 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_69eeb31b6dcc8190b30632dc3928a0c0 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f613bd3f308190a936e670bf8a1b4e |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 1:23 a.m.