Triple
T34283140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broadway and 191st Street |
E879651
|
entity |
| Predicate | subwayAccessRole |
P81720
|
FINISHED |
| Object | access point to nearby subway services |
—
|
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: access point to nearby subway services | Statement: [Broadway and 191st Street, subwayAccessRole, access point to nearby subway services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subwayAccessRole Context triple: [Broadway and 191st Street, subwayAccessRole, access point to nearby subway services]
-
A.
undergroundRailroadRole
Indicates the specific role or function an entity played within the operations or support network of the Underground Railroad.
-
B.
hasSubwayStationEntrance
chosen
Indicates that one entity serves as an entrance or access point to a subway station associated with another entity.
-
C.
hasSubway
Indicates that a place is served by or contains a subway (metro) system.
-
D.
hasPublicTransitRole
Indicates that an entity holds a specific functional role or responsibility within a public transit system.
-
E.
subwayOperation
Indicates the operation or running of a subway system, relating transit services to the times, routes, or conditions under which subway trains are in service.
- 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_69f349b5f6648190b9420d94a4cd16e0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:57 a.m.