Triple
T34967673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brown on Resolution |
E1008446
|
entity |
| Predicate | hasNavalElement |
P41563
|
FINISHED |
| Object | German warship |
—
|
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: German warship | Statement: [Brown on Resolution, hasNavalElement, German warship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNavalElement Context triple: [Brown on Resolution, hasNavalElement, German warship]
-
A.
hasNavalComponent
chosen
Indicates that something includes, involves, or is associated with a naval or maritime element as part of its composition or structure.
-
B.
hasNavalFacility
Indicates that one entity possesses, hosts, or contains a naval facility (such as a naval base, port, or installation) associated with it.
-
C.
hasNavalRole
Indicates that an entity holds or is assigned a role, function, or duty within a naval or maritime context.
-
D.
hasNavalPresenceIn
Indicates that an entity maintains or deploys naval forces or maritime assets within a specified geographic area or location.
-
E.
isNavalBase
Indicates that a location functions as a naval base, serving as an operational facility or station for naval forces.
- 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_69f76dc78a308190a1ac29ad4a9a4895 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff2fbae9b48190847eefa1c227d43e |
completed | May 9, 2026, 12:59 p.m. |
| PD | Predicate disambiguation | batch_69ff2f2218048190a32224a648182b5d |
completed | May 9, 2026, 12:57 p.m. |
Created at: May 3, 2026, 4 p.m.