Triple
T2473255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milwaukee Intermodal Station |
E55024
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Coach USA |
E63226
|
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: Coach USA | Statement: [Milwaukee Intermodal Station, servedBy, Coach USA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coach USA Context triple: [Milwaukee Intermodal Station, servedBy, Coach USA]
-
A.
Coach USA
chosen
Coach USA is a large North American bus company that operates intercity, commuter, and charter services across the United States and parts of Canada.
-
B.
Coach
Coach is an American television sitcom that follows the personal and professional life of a college football coach, best known for starring Craig T. Nelson.
-
C.
Coach
Coach is a luxury American fashion brand best known for its high-quality leather handbags, accessories, and lifestyle products.
-
D.
They Call Me Coach
"They Call Me Coach" is an autobiographical book by former NHL coach Jacques Demers, detailing his life, coaching career, and personal struggles.
-
E.
Nosek
Nosek is a Polish-origin surname borne by various notable individuals across fields such as technology, sports, and academia.
- 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_69ab49e279e88190ab10d7248aea9d11 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd149c10c819098ff75f176972c8b |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17a8d87c819084637958a5dc4028 |
completed | March 9, 2026, 6:55 p.m. |
Created at: March 6, 2026, 9:45 p.m.