Triple
T34295339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of the Glorious First of June |
E880008
|
entity |
| Predicate | frenchShipsOfTheLineCaptured |
P178866
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Battle of the Glorious First of June, frenchShipsOfTheLineCaptured, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frenchShipsOfTheLineCaptured Context triple: [Battle of the Glorious First of June, frenchShipsOfTheLineCaptured, 6]
-
A.
FrenchShips
Indicates that the ships involved are associated with France, typically by nationality, registration, or operation under the French flag.
-
B.
FrenchShipsOfTheLineEngaged
Indicates that French ships of the line were actively involved in a naval engagement or battle.
-
C.
shipsOfTheLine
Indicates a relationship where the associated entities are classified as ships of the line, i.e., major warships designed to participate in the main line of battle.
-
D.
FrenchShipType
Indicates that something is classified as a type of ship associated with France, such as by origin, design, or service.
-
E.
FrenchShipName
Indicates that the entity is the name of a ship that is French or associated with France.
- 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_69f349b79f6c81909cb468c92c39c74d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71782422c81908196d5e4a610cb1a |
completed | May 3, 2026, 9:38 a.m. |
Created at: May 1, 2026, 1:57 a.m.