Triple
T1067875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria (ship) |
E23253
|
entity |
| Predicate | originalFleetSize |
P1848
|
FINISHED |
| Object | five 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: five ships | Statement: [Victoria (ship), originalFleetSize, five ships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalFleetSize Context triple: [Victoria (ship), originalFleetSize, five ships]
-
A.
fleetSize
chosen
Indicates the total number of vehicles, vessels, or units that collectively make up a fleet associated with an entity.
-
B.
originalNumberOfMembers
Indicates the initial total count of members in a group or organization before any changes such as additions or removals.
-
C.
numberOfOriginalSettlerFamilies
Indicates the count of distinct families that were part of the initial group of settlers in a given place or community.
-
D.
foundingPopulation
Indicates the population size or composition present at the time an entity (such as a settlement, organization, or species group) was originally founded or established.
-
E.
restrictedArmySizeOf
Indicates that one entity imposes a limitation or cap on the allowable size of another entity’s army.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b9e1047481909af1cf8df2a01fff |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b736f1e881909bace735b38c0ade |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.