Triple
T27108133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seattle Center station |
E686636
|
entity |
| Predicate | distanceToTerminus |
P3387
|
FINISHED |
| Object | approximately 1 mile to Westlake station |
—
|
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: approximately 1 mile to Westlake station | Statement: [Seattle Center station, distanceToTerminus, approximately 1 mile to Westlake station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToTerminus Context triple: [Seattle Center station, distanceToTerminus, approximately 1 mile to Westlake station]
-
A.
distanceFromTerminus
chosen
Indicates the measured distance of an entity from a defined endpoint or terminus along a route, path, or sequence.
-
B.
distanceToTerminal
Indicates the measured or calculated distance from a given entity or location to a specified terminal point or facility.
-
C.
distanceToRailhead
Indicates the measured distance between a location or object and the nearest railhead (rail transport access point).
-
D.
distanceFromStart
Indicates the measured distance between an entity’s current position and its starting point.
-
E.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
- 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_69ff0d80c0dc81909fbd12285c7a45c0 |
completed | May 9, 2026, 10:33 a.m. |
| PD | Predicate disambiguation | batch_69ff0cd03e78819094895058f925fbfa |
completed | May 9, 2026, 10:30 a.m. |
Created at: April 27, 2026, 8:52 a.m.