Triple
T27293324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westlake Center station |
E688688
|
entity |
| Predicate | isDowntownTerminusOf |
P6243
|
FINISHED |
| Object | Seattle Center Monorail |
—
|
NE NERFINISHED |
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: Seattle Center Monorail | Statement: [Westlake Center station, isDowntownTerminusOf, Seattle Center Monorail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDowntownTerminusOf Context triple: [Westlake Center station, isDowntownTerminusOf, Seattle Center Monorail]
-
A.
isDowntownEndpointOf
chosen
Indicates that a location serves as the downtown terminus or endpoint of a route, line, or path.
-
B.
terminusStation
Indicates that a station serves as the final endpoint or terminal stop for a given route or service.
-
C.
railroadTerminusFor
Indicates that one location serves as the end point or final station of a particular railroad line for another location.
-
D.
isEasternmostSubwayStationOn
Indicates that a subway station is the geographically farthest east station located on a given subway line.
-
E.
connectsDowntownTo
Indicates a relationship where one location, route, or service provides a direct connection or access to a downtown area.
- 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_69ef355a96308190a2bed991525fb278 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f6275afc848190a0b321716814673e |
completed | May 2, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 11:17 a.m.