Triple
T4838134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newcastle Castle |
E108112
|
entity |
| Predicate | originalConstructionType |
P35487
|
FINISHED |
| Object | motte-and-bailey castle |
—
|
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: motte-and-bailey castle | Statement: [Newcastle Castle, originalConstructionType, motte-and-bailey castle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalConstructionType Context triple: [Newcastle Castle, originalConstructionType, motte-and-bailey castle]
-
A.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
B.
originalBuildingConstructed
Indicates that a particular building was initially constructed in its original form or configuration.
-
C.
createdByConstructionOf
Indicates that something comes into existence as a result of a construction process or building activity performed by an agent.
-
D.
originalBuilding
Indicates that a building is the initial or first version from which later buildings, modifications, or replacements are derived.
-
E.
originalStructureType
chosen
Indicates the type or category of the structure that an entity originally had before any changes or transformations.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c21c7f08190846049d31fdfa144 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.