Triple
T591552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moda Center |
E17281
|
entity |
| Predicate | publicTransit |
P1288
|
FINISHED |
| Object | TriMet bus |
E1080
|
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: TriMet bus | Statement: [Moda Center, publicTransit, TriMet bus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TriMet bus Context triple: [Moda Center, publicTransit, TriMet bus]
-
A.
TriMet
chosen
TriMet is the regional public transportation agency serving the Portland, Oregon metropolitan area, operating buses, light rail, and commuter rail services.
-
B.
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.
-
C.
Metro Bus
Metro Bus is the primary public bus service network for Los Angeles County, providing extensive local and rapid transit across the region.
-
D.
Sound Transit
Sound Transit is the regional public transit agency that plans, builds, and operates light rail, commuter rail, and express bus services in the greater Puget Sound area of Washington State.
-
E.
Sound Transit Link light rail
Sound Transit Link light rail is a regional rapid transit system serving Seattle and surrounding communities with frequent, high-capacity train service.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bbaf53081908eed240bed09f63b |
completed | March 1, 2026, 8:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a518c61744819090ccc037d61a61b1 |
completed | March 2, 2026, 4:57 a.m. |
Created at: March 1, 2026, 7:33 p.m.