Triple
T18926992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Bonifacio |
E462999
|
entity |
| Predicate | hasApproximateCrossingTimeToSardinia |
P22182
|
FINISHED |
| Object | about 50 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: about 50 minutes | Statement: [Port of Bonifacio, hasApproximateCrossingTimeToSardinia, about 50 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateCrossingTimeToSardinia Context triple: [Port of Bonifacio, hasApproximateCrossingTimeToSardinia, about 50 minutes]
-
A.
dateToReachMediterranean
Indicates the date on which an entity is expected or scheduled to arrive at, or first reach, the Mediterranean.
-
B.
hasApproachOverWater
Indicates that the approach to a location or object involves traveling over a body of water.
-
C.
hasSeaVoyage
Indicates that an entity undertakes, includes, or is associated with a journey or travel conducted by sea.
-
D.
approximateCrossingTime
chosen
Indicates an estimated point in time when one entity is expected to cross or intersect another (such as a path, boundary, or trajectory).
-
E.
hasCanalCrossing
Indicates that one entity is connected to or traversed by another via a canal crossing, such as a bridge, aqueduct, or similar structure over a canal.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9bc36588190ae9cc3b8abf8afd4 |
completed | April 20, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:59 a.m.