Triple
T34713214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Combat de Prairial |
E1000702
|
entity |
| Predicate | BritishShipsCaptured |
P178865
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Combat de Prairial, BritishShipsCaptured, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BritishShipsCaptured Context triple: [Combat de Prairial, BritishShipsCaptured, 0]
-
A.
britishShipsLost
chosen
Indicates that the subject refers to British ships that were lost, typically through sinking, capture, or destruction, in a particular event or context.
-
B.
EnglishShipsSunkOrCaptured
Indicates that English ships were either sunk or captured as a result of a particular event or action.
-
C.
BritishShipRate
Indicates that the subject is classified or rated according to the British naval ship rating system (e.g., first-rate, second-rate, etc.).
-
D.
countryOfBritishShips
Indicates the country to which British ships belong or are registered.
-
E.
frenchShipsOfTheLineCaptured
Indicates that the subject is a French ship of the line that was captured, with the object specifying the captor or capturing event.
- 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.