Triple
T10994437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muskegon–Milwaukee ferry route |
E259825
|
entity |
| Predicate | vehicleCarried |
P24081
|
FINISHED |
| Object | automobiles |
—
|
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: automobiles | Statement: [Muskegon–Milwaukee ferry route, vehicleCarried, automobiles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleCarried Context triple: [Muskegon–Milwaukee ferry route, vehicleCarried, automobiles]
-
A.
toolCarried
Indicates that one entity is carrying or transporting a tool with them.
-
B.
carriedBy
Indicates that one entity is physically supported and transported by another entity.
-
C.
carriedObjects
chosen
Indicates that one entity is transporting or holding another entity as a carried item.
-
D.
missionCommanderCarried
Indicates that the mission commander physically transported or bore another entity or object during the mission.
-
E.
missionEquipment
Indicates that certain equipment is assigned to, used for, or associated with carrying out a specific mission.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d795d460d88190bff918d6dfdb0f93 |
completed | April 9, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69d72e93ac648190b46c5d12bf3eb1e9 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:24 p.m.