Triple
T16347630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nao Victoria |
E396973
|
entity |
| Predicate | fleetSizeAtStart |
P39920
|
FINISHED |
| Object | 5 ships |
—
|
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: 5 ships | Statement: [Nao Victoria, fleetSizeAtStart, 5 ships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fleetSizeAtStart Context triple: [Nao Victoria, fleetSizeAtStart, 5 ships]
-
A.
fleetSize
Indicates the total number of vehicles, vessels, or units that collectively make up a fleet associated with an entity.
-
B.
numberOfShips
chosen
Indicates the quantity of ships associated with a given entity or situation.
-
C.
embarkedForcesCapacity
Indicates the maximum number of forces (e.g., troops or personnel) that can be embarked or carried by a given platform or unit.
-
D.
navalFleet
Indicates a relationship where multiple naval vessels are organized and operate together as a coordinated maritime military force.
-
E.
navalForceComposition
Indicates the makeup and distribution of different types of naval units or vessels within a particular naval 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da1038d88190b8292cfe71bc4f2a |
completed | April 18, 2026, 1:10 a.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.