Triple
T15752377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisconsin Highway 42 |
E381877
|
entity |
| Predicate | terminusNorthDetail |
P3375
|
FINISHED |
| Object | ferry dock for Washington Island Ferry Line |
—
|
LITERAL 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: ferry dock for Washington Island Ferry Line | Statement: [Wisconsin Highway 42, terminusNorthDetail, ferry dock for Washington Island Ferry Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terminusNorthDetail Context triple: [Wisconsin Highway 42, terminusNorthDetail, ferry dock for Washington Island Ferry Line]
-
A.
terminusNorth
chosen
Indicates that one entity serves as the northern endpoint or final stop of another entity, such as a route, line, or path.
-
B.
terminusNortheast
Indicates that one entity serves as the northeastern terminus or endpoint of another entity (such as a route, line, or path).
-
C.
terminusCityNorthwest
Indicates that the terminus (end point) of something is located to the northwest of a specified city.
-
D.
terminusEast
Indicates that one entity serves as the eastern endpoint or final stop of another entity, such as a route, line, or path.
-
E.
terminusCity
Indicates that a transportation route or service ends or has its final stop in a particular city.
- F. None of above.
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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0052c6208819098165d61d378d13b |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:47 a.m.