Triple
T11508865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Regional Card for All |
E272856
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | Everett Transit |
E185875
|
NE 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: Everett Transit | Statement: [One Regional Card for All, operatedBy, Everett Transit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Everett Transit Context triple: [One Regional Card for All, operatedBy, Everett Transit]
-
A.
Everett Transit
chosen
Everett Transit is the public bus transportation agency serving the city of Everett in Washington State.
-
B.
Seattle Transit System
The Seattle Transit System was the former public transportation agency serving the Seattle area before being succeeded by King County Metro.
-
C.
Kitsap Transit
Kitsap Transit is a public transportation agency serving Kitsap County, Washington, providing bus, ferry, and related transit services in the region.
-
D.
Metro Transit
Metro Transit is the public transportation agency serving the St. Louis metropolitan area with bus, light rail, and paratransit services.
-
E.
Metro Transit
Metro Transit is the primary public transportation agency for the Minneapolis–Saint Paul metropolitan area, operating buses, light rail, and commuter rail services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db65eb081908613a1002c6a4fb4 |
completed | April 10, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6852a23688190a3fe8e5508435661 |
completed | April 20, 2026, 7:57 p.m. |
Created at: April 8, 2026, 9:36 p.m.