Triple
T29063317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Apollo Epicurius |
E735598
|
entity |
| Predicate | hasPeristyleColumns |
P163003
|
FINISHED |
| Object | 6 by 15 |
—
|
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: 6 by 15 | Statement: [Temple of Apollo Epicurius, hasPeristyleColumns, 6 by 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeristyleColumns Context triple: [Temple of Apollo Epicurius, hasPeristyleColumns, 6 by 15]
-
A.
hasPeristyle
chosen
Indicates that one entity (typically a building or structure) includes or is characterized by a peristyle, i.e., a surrounding colonnaded courtyard or porch.
-
B.
hasCol
Indicates that one entity possesses, contains, or is associated with a particular color.
-
C.
hasColumns
Indicates that one entity possesses or is characterized by a set of columns associated with it.
-
D.
hasFrontColumns
Indicates that one entity possesses or features columns located at its front side.
-
E.
hasNumberOfStandingColumns
Indicates the relationship specifying how many standing columns an entity currently has.
- 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_69f077e85498819088b65186550da8cd |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 28, 2026, 10:16 a.m.