Triple
T13559662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expédition d’Irlande |
E323870
|
entity |
| Predicate | nombreDeNaviresPrévu |
P21287
|
FINISHED |
| Object | environ 43 navires de guerre et de transport |
—
|
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: environ 43 navires de guerre et de transport | Statement: [Expédition d’Irlande, nombreDeNaviresPrévu, environ 43 navires de guerre et de transport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nombreDeNaviresPrévu Context triple: [Expédition d’Irlande, nombreDeNaviresPrévu, environ 43 navires de guerre et de transport]
-
A.
numberOfShips
Indicates the quantity of ships associated with a given entity or situation.
-
B.
numberOfNaves
Indicates the specific count of naves (longitudinal sections) that a building, typically a church, possesses.
-
C.
numberOfPlannedShips
chosen
Indicates the total count of ships that are intended or scheduled to be built, deployed, or used according to a plan.
-
D.
embarkedForcesCapacity
Indicates the maximum number of forces (e.g., troops or personnel) that can be embarked or carried by a given platform or unit.
-
E.
navalFleet
Indicates a relationship where multiple naval vessels are organized and operate together as a coordinated maritime military force.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae13bec4819084c1770638c00ed9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:47 p.m.