Triple
T31639386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | capture of Spanish frigate Gamo |
E807403
|
entity |
| Predicate | shipTypeOfSpanishVessel |
P172600
|
FINISHED |
| Object | frigate |
—
|
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: frigate | Statement: [capture of Spanish frigate Gamo, shipTypeOfSpanishVessel, frigate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipTypeOfSpanishVessel Context triple: [capture of Spanish frigate Gamo, shipTypeOfSpanishVessel, frigate]
-
A.
SpanishShipArmamentApproximate
Indicates that an entity’s armament is an approximate or estimated value specifically for Spanish ships.
-
B.
BritishShipType
Indicates that the entity is classified as a type of ship associated with Britain, typically by origin, design, or service.
-
C.
FrenchShipType
Indicates that something is classified as a type of ship associated with France, such as by origin, design, or service.
-
D.
shipTypeProduced
Indicates that a particular type of ship is produced, built, or manufactured by a given entity.
-
E.
vesselTypeServedOn
Indicates the type of vessel on which an entity has served or performed duty.
- F. None of above. chosen
Provenance (4 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_69f348d892948190915f8facacb9568c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ac1ed23c8190ace57ffc9d8a3dc6 |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aba8fba48190bc1a17117244cae1 |
completed | May 3, 2026, 1:58 a.m. |
Created at: April 30, 2026, 10:48 p.m.