Triple
T11649890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bluestones |
E276873
|
entity |
| Predicate | roleInMonument |
P100182
|
FINISHED |
| Object | inner architectural and symbolic focus |
—
|
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: inner architectural and symbolic focus | Statement: [bluestones, roleInMonument, inner architectural and symbolic focus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInMonument Context triple: [bluestones, roleInMonument, inner architectural and symbolic focus]
-
A.
usedInMonument
Indicates that something serves as a material, component, or element incorporated into the construction or design of a monument.
-
B.
monumentDepicts
Indicates that a monument visually represents, portrays, or is dedicated to a particular person, event, concept, or object.
-
C.
sculptorOfMonument
Indicates that one entity is the sculptor who created or designed a particular monument.
-
D.
partOfArchitecturalOeuvreOf
Indicates that something is included as a work within the overall architectural output or body of work created by a particular architect or architectural entity.
-
E.
hasWorkOnMonument
Indicates that an entity has created, contributed to, or performed work on a particular monument.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cea9308190a13f7dd995ea07a4 |
completed | April 10, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d85ddc780481909a3bc63832fe2bd2 |
completed | April 10, 2026, 2:18 a.m. |
| PDg | Predicate description generation | batch_69d87f30642c8190ad94fa061cde186b |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:39 p.m.