Triple
T22182488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Combined Franco-Spanish fleet |
E548204
|
entity |
| Predicate | shipsOfTheLine |
P147279
|
FINISHED |
| Object | approximately 33 |
—
|
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: approximately 33 | Statement: [Combined Franco-Spanish fleet, shipsOfTheLine, approximately 33]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipsOfTheLine Context triple: [Combined Franco-Spanish fleet, shipsOfTheLine, approximately 33]
-
A.
BritishShipsOfTheLine
Indicates a relationship where the subject is classified as a ship of the line that belonged to or was operated by Britain.
-
B.
FrenchShipType
Indicates that something is classified as a type of ship associated with France, such as by origin, design, or service.
-
C.
FrenchShips
Indicates that the ships involved are associated with France, typically by nationality, registration, or operation under the French flag.
-
D.
notableShip
Indicates that there is a notable or significant ship associated with the subject entity.
-
E.
FrenchShipsOfTheLineEngaged
Indicates that French ships of the line were actively involved in a naval engagement or battle.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa687808190b9959d4e91db948a |
completed | April 28, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:35 p.m.