Triple
T3479540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosslyn Chapel |
E73455
|
entity |
| Predicate | hasCarving |
P49005
|
FINISHED |
| Object | biblical scenes |
—
|
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: biblical scenes | Statement: [Rosslyn Chapel, hasCarving, biblical scenes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCarving Context triple: [Rosslyn Chapel, hasCarving, biblical scenes]
-
A.
hasRootCarvings
Indicates that an object, typically a plant or tree, possesses carvings or engraved markings on its roots.
-
B.
hasBranchCarvings
Indicates that an entity (such as a tree or wooden object) possesses carvings or engravings specifically on its branches.
-
C.
carvedInto
Indicates that one entity has been shaped, cut, or sculpted so that it takes the form or likeness of another entity.
-
D.
carvedBy
Indicates that one entity has been shaped, cut, or sculpted from a material by another entity through a carving process.
-
E.
hasTrunkCarvings
Indicates that an entity (typically a tree) possesses carvings or engravings on its trunk.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb7461708190898002fbd1191f34 |
completed | March 8, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69adae0935ac8190bfa8a8bd3dcd3301 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb1ecb02881908394f197e31431b4 |
completed | March 8, 2026, 5:29 p.m. |
Created at: March 8, 2026, 3:17 p.m.