Triple
T751546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portland International Airport station |
E15458
|
entity |
| Predicate | isPublicTransportStop |
P6657
|
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: [Portland International Airport station, isPublicTransportStop, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPublicTransportStop Context triple: [Portland International Airport station, isPublicTransportStop, yes]
-
A.
hasPublicTransportStop
Indicates that a location or area contains or is served by a public transport stop, such as a bus, tram, or train stop.
-
B.
publicTransitStop
chosen
Indicates that a location serves as a designated stop or station where public transit vehicles (such as buses, trains, or trams) pick up and drop off passengers.
-
C.
isCityCentreStop
Indicates that a stop is located within or serves the central area of a city.
-
D.
hasBusStation
Indicates that a place or area contains or is served by a bus station.
-
E.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
- 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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64c67748190aef3522b4b428563 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a501c4cc81908de6d63e3d4f60d7 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.