Triple
T18130943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Line (TRAX) |
E434006
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Sandy Expo station |
—
|
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: Sandy Expo station | Statement: [Blue Line (TRAX), hasStation, Sandy Expo station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandy Expo station Context triple: [Blue Line (TRAX), hasStation, Sandy Expo station]
-
A.
Sandy Civic Center station
chosen
Sandy Civic Center station is a light rail stop in Sandy, Utah, serving as part of the TRAX public transit system in the Salt Lake City metropolitan area.
-
B.
Bayside Station
Bayside Station is a monorail stop on Tokyo Disney Resort’s Disney Resort Line serving nearby hotels and resort facilities.
-
C.
Snyder station
Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
-
D.
Concourse B Station
Concourse B Station is an AeroTrain passenger rail stop serving Concourse B at Washington Dulles International Airport, providing automated transit between terminals.
-
E.
Bayside station
Bayside station is a Long Island Rail Road commuter rail stop in the Bayside neighborhood of Queens, New York City.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddf1e2508190993f65ca137fdf63 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:29 a.m.