Triple
T29037003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Apollo Epicurius |
E737887
|
entity |
| Predicate | peristyleColumnsCount |
P112654
|
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, peristyleColumnsCount, 6 by 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peristyleColumnsCount Context triple: [Temple of Apollo Epicurius, peristyleColumnsCount, 6 by 15]
-
A.
numberOfColumnsInColonnade
chosen
Indicates the count of individual columns that make up a given colonnade.
-
B.
orderOfPeristyle
Indicates the relative sequence or position of a peristyle within an ordered arrangement of multiple peristyles.
-
C.
hasColonnade
Indicates that one entity features or is characterized by a colonnade in relation to another entity.
-
D.
hasColonnadeShape
Indicates that something has the form or configuration characteristic of a colonnade, typically a sequence or arrangement of regularly spaced columns.
-
E.
numberOfCaryatids
Indicates the quantity of caryatids associated with or present on a given entity.
- 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6603db2988190af8ce0beaaec257d |
completed | May 2, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:59 a.m.