Triple
T10936288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARA Santísima Trinidad (D-2) |
E258339
|
entity |
| Predicate | shipTypeOrigin |
P6545
|
FINISHED |
| Object | British Type 42 design |
—
|
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: British Type 42 design | Statement: [ARA Santísima Trinidad (D-2), shipTypeOrigin, British Type 42 design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipTypeOrigin Context triple: [ARA Santísima Trinidad (D-2), shipTypeOrigin, British Type 42 design]
-
A.
shipTypeProduced
Indicates that a particular type of ship is produced, built, or manufactured by a given entity.
-
B.
portOfOrigin
Indicates the location from which something (such as a shipment or vessel) originally departs or is first sent.
-
C.
originalShipType
chosen
Indicates the type or category of ship that an entity was originally classified or built as.
-
D.
speciesOrigin
Indicates the place, environment, or source from which a species originally arose or evolved.
-
E.
voyageOriginCountry
Indicates the country from which a voyage departs or originates.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770afaa1c8190b8fced9c694c0938 |
completed | April 9, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69d72e816a98819096d6c10dfb88a66a |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.