Triple
T34713262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Atlantic Fleet |
E1000703
|
entity |
| Predicate | typeOfWarshipUsed |
P97528
|
FINISHED |
| Object | ship of the line |
—
|
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: ship of the line | Statement: [French Atlantic Fleet, typeOfWarshipUsed, ship of the line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfWarshipUsed Context triple: [French Atlantic Fleet, typeOfWarshipUsed, ship of the line]
-
A.
warshipTypeUsed
chosen
Indicates that a particular type or class of warship is employed or utilized in a given context, event, or operation.
-
B.
isWarshipOf
Indicates that a given warship belongs to, is operated by, or is part of the naval forces of a specified country or organization.
-
C.
navalTechnologyType
Indicates the specific category or type of naval technology associated with an entity.
-
D.
shipsUsedAs
Indicates that certain ships are employed or repurposed to serve in a specified role, function, or capacity.
-
E.
shipTypeProduced
Indicates that a particular type of ship is produced, built, or manufactured by a given entity.
- 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_6a0160834e388190908591b300954d29 |
completed | May 11, 2026, 4:52 a.m. |
| PD | Predicate disambiguation | batch_6a01602a83408190a11d754bdc7da0e9 |
completed | May 11, 2026, 4:50 a.m. |
Created at: May 3, 2026, 3:59 p.m.