Triple
T32033629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belcourt Castle in France (inspiration) |
E818033
|
entity |
| Predicate | servedAsDesignModelFor |
P44407
|
FINISHED |
| Object | Belcourt of Newport |
—
|
NE NERFINISHED |
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: Belcourt of Newport | Statement: [Belcourt Castle in France (inspiration), servedAsDesignModelFor, Belcourt of Newport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedAsDesignModelFor Context triple: [Belcourt Castle in France (inspiration), servedAsDesignModelFor, Belcourt of Newport]
-
A.
designModel
chosen
Indicates that one entity creates, specifies, or defines the structure or behavior of another entity as a model or blueprint.
-
B.
designedAsPartOfSystemBy
Indicates that an entity was intentionally created as a component or module within a larger system by a specific designer or designing agent.
-
C.
usesDesignModel
Indicates that one entity applies or relies on a particular design model in performing its function or defining its structure.
-
D.
modeledWith
Indicates that something is represented, simulated, or described using a particular model, method, or modeling technique.
-
E.
isDesignedAs
Indicates that something has been intentionally created or configured to serve as or function in the role of something else.
- 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_69f348fbc8148190b3c0f95d4772b153 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff136ed2a881908f713401083970d1 |
completed | May 9, 2026, 10:58 a.m. |
| PD | Predicate disambiguation | batch_69ff10f9e3448190b6cb6ea5a67713c1 |
completed | May 9, 2026, 10:48 a.m. |
Created at: May 1, 2026, 12:18 a.m.