Triple
T27108169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seattle Monorail Services |
E686637
|
entity |
| Predicate | operatesStations |
P42386
|
FINISHED |
| Object | Westlake station (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: Westlake station (Seattle Center Monorail) | Statement: [Seattle Monorail Services, operatesStations, Westlake station (Seattle Center Monorail)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesStations Context triple: [Seattle Monorail Services, operatesStations, Westlake station (Seattle Center Monorail)]
-
A.
operatedStationsIn
Indicates that an entity managed or ran the operations of one or more stations within a specified area or system.
-
B.
operatedStation
chosen
Indicates that one entity managed, ran, or was responsible for the operation of a particular station.
-
C.
hasStations
Indicates that one entity possesses, contains, or is associated with one or more stations.
-
D.
numberOfStations
Indicates the total count of stations associated with or contained by a given entity.
-
E.
otherMainStations
Indicates that an entity is associated with additional primary stations beyond its main or primary 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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fd91a5dad8819093eeeef527027890 |
completed | May 8, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69fd8f65fe9081908902500a3228d935 |
completed | May 8, 2026, 7:23 a.m. |
Created at: April 27, 2026, 8:52 a.m.