Triple
T21904397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Michigan rail car ferries |
E540895
|
entity |
| Predicate | sawConversionTo |
P116992
|
FINISHED |
| Object | auto and passenger ferry service on some routes |
—
|
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: auto and passenger ferry service on some routes | Statement: [Lake Michigan rail car ferries, sawConversionTo, auto and passenger ferry service on some routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sawConversionTo Context triple: [Lake Michigan rail car ferries, sawConversionTo, auto and passenger ferry service on some routes]
-
A.
convertedIn
Indicates that one entity has been transformed, changed, or translated into another form, state, or representation within a specified context.
-
B.
involvesConversionTo
chosen
Indicates that one entity undergoes a change of form, type, or state resulting in another entity.
-
C.
someConvertedTo
Indicates that a portion of one entity has been transformed or changed into another entity.
-
D.
involvesConversionFrom
Indicates that one entity participates in or requires a transformation or change from another entity as its source or starting point.
-
E.
convertedFrom
Indicates that one entity has been transformed or changed in form, type, or representation from another entity.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d4c0248190909172decd7cbc64 |
completed | April 28, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:29 p.m.