Triple
T22112917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SunGO card |
E546461
|
entity |
| Predicate | network |
P2637
|
FINISHED |
| Object | Sun Tran transit system |
—
|
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: Sun Tran transit system | Statement: [SunGO card, network, Sun Tran transit system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sun Tran transit system Context triple: [SunGO card, network, Sun Tran transit system]
-
A.
Sun Tran bus system
chosen
Sun Tran bus system is the primary public bus transit network serving the city of Tucson and its surrounding areas.
-
B.
Jackson Transit System
Jackson Transit System is the public bus transportation agency serving the city of Jackson, Mississippi.
-
C.
SouthWest Transit
SouthWest Transit is a public transportation agency serving suburban communities in the southwest Twin Cities metropolitan area of Minnesota.
-
D.
San Diego Metropolitan Transit System
The San Diego Metropolitan Transit System is the public transportation agency that operates buses and light rail services throughout the San Diego, California metropolitan area.
-
E.
Lawrence Transit System
Lawrence Transit System is the primary public bus network serving residents, students, and visitors in Lawrence, Kansas.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1294ae7608190901745384a023bab |
completed | April 28, 2026, 9:40 p.m. |
Created at: April 16, 2026, 8:31 p.m.