Triple
T31731191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corinthian order |
E809862
|
entity |
| Predicate | hasColumnProportion |
P204039
|
FINISHED |
| Object | slender |
—
|
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: slender | Statement: [Corinthian order, hasColumnProportion, slender]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColumnProportion Context triple: [Corinthian order, hasColumnProportion, slender]
-
A.
hasProportion
Indicates that one entity stands in a specified ratio, fraction, or relative share to another entity or whole.
-
B.
hasProportionRule
Indicates that something is governed or determined by a specified proportional relationship or rule.
-
C.
isProportionalTo
Indicates that one quantity varies in constant ratio to another, so when one changes, the other changes by a fixed multiplicative factor.
-
D.
hasProportionSystem
Indicates that one entity possesses or is characterized by a particular system for managing or defining proportions or ratios.
-
E.
hasCol
Indicates that one entity possesses, contains, or is associated with a particular color.
- 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_69f348e0e4908190a884582eca646fb7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a031045669c8190944781a48d09b5b6 |
completed | May 12, 2026, 11:34 a.m. |
| PD | Predicate disambiguation | batch_6a030fa775848190839b388f950d0364 |
completed | May 12, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_6a031044b88481909092553ee4198fd5 |
completed | May 12, 2026, 11:34 a.m. |
Created at: April 30, 2026, 11:21 p.m.