Triple
T68558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foggy Bottom–GWU station |
E1368
|
entity |
| Predicate | hasStationManagerKiosk |
P3742
|
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: [Foggy Bottom–GWU station, hasStationManagerKiosk, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStationManagerKiosk Context triple: [Foggy Bottom–GWU station, hasStationManagerKiosk, yes]
-
A.
hasStationCode
Indicates that an entity is associated with a specific station identification code.
-
B.
hasStationBuilding
Indicates that a station is associated with or includes a station building as part of its facilities.
-
C.
hasClerk
Indicates that an entity is served, assisted, or managed by a clerk associated with it.
-
D.
isOn
Indicates that one entity is physically positioned above and in contact with the top surface of another entity.
-
E.
isRailHubFor
Indicates that a location functions as a central node or interchange point within a rail network for the referenced area, routes, or services.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24fd16c248190a6ee4cd96c388772 |
completed | Feb. 28, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69a24ea8cfd081908a26edad2473dde3 |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a24fcf5a88819088c5fa4c08476358 |
completed | Feb. 28, 2026, 2:15 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.