Triple
T37907743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnival Corporation & plc |
E945600
|
entity |
| Predicate | hasNumberOfShips |
P39920
|
FINISHED |
| Object | over 80 |
—
|
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: over 80 | Statement: [Carnival Corporation & plc, hasNumberOfShips, over 80]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfShips Context triple: [Carnival Corporation & plc, hasNumberOfShips, over 80]
-
A.
numberOfShips
chosen
Indicates the quantity of ships associated with a given entity or situation.
-
B.
serviceNumberOfShipsUnderCommand
Indicates the number of ships that are currently under the command or control of a given service or commanding entity.
-
C.
classShipCount
Indicates the number of ships associated with a particular class or category.
-
D.
hasTallShips
Indicates that one entity possesses, features, or includes tall ships (large sailing vessels with high masts) as part of it or within it.
-
E.
hasNumberOfHarbours
Indicates the quantity of harbours associated with a given 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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff38b960808190a8263348f1e5c0e4 |
completed | May 9, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69ff37d97d9c8190849b2bac14f9af1d |
completed | May 9, 2026, 1:34 p.m. |
Created at: May 3, 2026, 4:20 p.m.