Triple
T25558011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dover Bronze Age Boat |
E640626
|
entity |
| Predicate | cargoCapacityEstimate |
P46451
|
FINISHED |
| Object | suitable for several tons of cargo |
—
|
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: suitable for several tons of cargo | Statement: [Dover Bronze Age Boat, cargoCapacityEstimate, suitable for several tons of cargo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cargoCapacityEstimate Context triple: [Dover Bronze Age Boat, cargoCapacityEstimate, suitable for several tons of cargo]
-
A.
cargoCapacityFeature
chosen
Indicates that an entity has a feature specifying how much cargo it can carry or accommodate.
-
B.
cargoCapacityConfigurable
Indicates that the cargo capacity of an entity can be adjusted or configured rather than being fixed.
-
C.
designedCargoCapacity
Indicates the maximum amount of cargo an object (such as a vehicle or container) was originally engineered or specified to carry.
-
D.
transportCapacity
Indicates the maximum quantity of people, goods, or materials that can be transported by an entity or system within a given operation or time frame.
-
E.
cargoSpace
Indicates that one entity provides storage capacity or room for carrying goods, equipment, or other items for 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_69e75dc1beb08190bac7d76b8d6e7bc4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8cb186c819099b247e4a8cbd367 |
completed | May 2, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 3:44 p.m.