Triple
T7376118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Peter and Paul Cathedral |
E170126
|
entity |
| Predicate | usesConstructionTechnique |
P625
|
FINISHED |
| Object | timber frame construction |
—
|
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: timber frame construction | Statement: [Saint Peter and Paul Cathedral, usesConstructionTechnique, timber frame construction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesConstructionTechnique Context triple: [Saint Peter and Paul Cathedral, usesConstructionTechnique, timber frame construction]
-
A.
constructionMethod
chosen
Indicates the technique or process by which something is built, assembled, or created.
-
B.
constructionUsed
Indicates that one entity was employed as a construction method, material, or component in creating or assembling another entity.
-
C.
hasConstruction
Indicates that one entity possesses, contains, or is characterized by a particular construction, structure, or built form associated with it.
-
D.
usedByTechnique
Indicates that a particular technique makes use of or employs the referenced entity as part of its method or process.
-
E.
constructionType
Indicates the specific method or style by which something is built or constructed.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a8b18c8190ad1a19521eda2319 |
completed | March 27, 2026, 9:07 p.m. |
| PD | Predicate disambiguation | batch_69c6f02ee3e08190a7a00c981129b22c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:07 p.m.