Triple
T15391975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Ball Ferry Line |
E368066
|
entity |
| Predicate | crossingTimeApprox |
P109944
|
FINISHED |
| Object | 90 minutes |
—
|
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: 90 minutes | Statement: [Black Ball Ferry Line, crossingTimeApprox, 90 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crossingTimeApprox Context triple: [Black Ball Ferry Line, crossingTimeApprox, 90 minutes]
-
A.
approximateCrossingTime
Indicates an estimated point in time when one entity is expected to cross or intersect another (such as a path, boundary, or trajectory).
-
B.
levelCrossingsApproximate
Indicates that one quantity or function has level crossings that approximately coincide with those of another, within some tolerance.
-
C.
approximateTripDuration
chosen
Indicates the estimated length of time required to complete a trip between specified locations or points in a journey.
-
D.
crossingOf
Indicates that one entity serves as the intersection or crossing point of two or more linear features, such as roads, paths, or tracks.
-
E.
hasApproximateWalkingTimeTo
Indicates that there is an estimated or approximate amount of time it takes to walk from one entity to another.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7838b48190862b43c6c8620692 |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.