Triple
T24646327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of the Kentish Knock (1652) |
E610119
|
entity |
| Predicate | DutchFleetStrength |
P156898
|
FINISHED |
| Object | about 62 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: about 62 ships | Statement: [Battle of the Kentish Knock (1652), DutchFleetStrength, about 62 ships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DutchFleetStrength Context triple: [Battle of the Kentish Knock (1652), DutchFleetStrength, about 62 ships]
-
A.
fleetStrengthEnglish
Indicates the relative military or naval power level associated with a fleet, expressed or categorized in English terms.
-
B.
countryNavalForce
Indicates that a country possesses, controls, or is associated with a particular naval military force.
-
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.
navalForceComposition
Indicates the makeup and distribution of different types of naval units or vessels within a particular naval force.
-
E.
dutchCasualties
Indicates that the relationship specifies the number or occurrence of casualties suffered by Dutch entities in a given event or context.
- F. None of above. chosen
Provenance (4 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_69e2c4d350a481909170482bc2ce6af9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f41010f06c81908ee7f773220df14f |
completed | May 1, 2026, 2:29 a.m. |
Created at: April 18, 2026, 2:33 a.m.