Triple
T9444037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corning Fountain |
E227716
|
entity |
| Predicate | hasSculpturalFigures |
P88225
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Corning Fountain, hasSculpturalFigures, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSculpturalFigures Context triple: [Corning Fountain, hasSculpturalFigures, yes]
-
A.
hasSculptureType
Indicates that an entity is associated with a sculpture and specifies the type or category of that sculpture.
-
B.
numberOfSculptures
Indicates the quantity of sculptures associated with a given entity or context.
-
C.
hasSculptor
Indicates that one entity serves as the sculptor (creator of a sculpture) of another entity.
-
D.
featuresSculptureOf
Indicates that one entity includes or displays a sculpture that depicts or represents another entity.
-
E.
hasCarvings
Indicates that one entity features or contains carved designs or engravings on its surface, created by another entity or process.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f32aee88190a43573f97fa1e49d |
completed | April 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69cca5596ffc819097e9c8eefd4ef9b8 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:51 p.m.