Triple
T31731192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corinthian order |
E809862
|
entity |
| Predicate | hasFluting |
P32470
|
FINISHED |
| Object | vertical grooves |
—
|
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: vertical grooves | Statement: [Corinthian order, hasFluting, vertical grooves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFluting Context triple: [Corinthian order, hasFluting, vertical grooves]
-
A.
columnHasFlutes
chosen
Indicates that a column possesses flutes, i.e., vertical grooves or channels along its surface.
-
B.
hasFrill
Indicates that one entity possesses or is characterized by a frill as a distinguishing feature or component.
-
C.
hasFlowerMotif
Indicates that one entity features or is decorated with a flower-themed design or pattern in relation to another entity.
-
D.
hasFloralFeature
Indicates that an entity possesses a specific floral characteristic, structure, or attribute.
-
E.
hasSerrations
Indicates that one entity possesses serrated or saw-like edges, surfaces, or features.
- 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_69f348e0e4908190a884582eca646fb7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 30, 2026, 11:21 p.m.