Triple
T20730453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Zeus at Olympia |
E509558
|
entity |
| Predicate | peristyleColumnsOnShortSide |
P100653
|
FINISHED |
| Object | 6 |
—
|
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 | Statement: [Temple of Zeus at Olympia, peristyleColumnsOnShortSide, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peristyleColumnsOnShortSide Context triple: [Temple of Zeus at Olympia, peristyleColumnsOnShortSide, 6]
-
A.
orderOfPeristyle
Indicates the relative sequence or position of a peristyle within an ordered arrangement of multiple peristyles.
-
B.
numberOfColumnsPerShortSide
chosen
Indicates the count of columns that appear along each of the shorter sides of a rectangular or similarly shaped structure or layout.
-
C.
numberOfColumnsInColonnade
Indicates the count of individual columns that make up a given colonnade.
-
D.
hasColonnade
Indicates that one entity features or is characterized by a colonnade in relation to another entity.
-
E.
hasParterre
Indicates that one entity includes or is associated with a parterre (a formal, patterned garden area) as part of its layout or design.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1ec9820819093a07f90503686b2 |
completed | April 21, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69e5c04b31248190b9b9d91b5cb854e3 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:30 p.m.