Triple
T6090406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Scott Memorial Fountain |
E135746
|
entity |
| Predicate | hasSculpturalStyle |
P59561
|
FINISHED |
| Object | classical figures |
—
|
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: classical figures | Statement: [James Scott Memorial Fountain, hasSculpturalStyle, classical figures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSculpturalStyle Context triple: [James Scott Memorial Fountain, hasSculpturalStyle, classical figures]
-
A.
hasSculptureType
Indicates that an entity is associated with a sculpture and specifies the type or category of that sculpture.
-
B.
hasSculptor
Indicates that one entity serves as the sculptor (creator of a sculpture) of another entity.
-
C.
artStyleOfEnclosingSculpture
chosen
Indicates that one entity specifies the artistic style or aesthetic category of a surrounding or enclosing sculpture associated with another entity.
-
D.
featuresSculptureOf
Indicates that one entity includes or displays a sculpture that depicts or represents another entity.
-
E.
assistantSculptor
Indicates a relationship where one entity serves as an assistant to another entity in the role or activity of sculpting.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057aa192081908619d3518d4efa7a |
completed | March 22, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.