Triple
T21198820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Apollo (Syracuse) |
E522395
|
entity |
| Predicate | hasColumnsOnFacade |
P9588
|
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 Apollo (Syracuse), hasColumnsOnFacade, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColumnsOnFacade Context triple: [Temple of Apollo (Syracuse), hasColumnsOnFacade, 6]
-
A.
hasColumns
Indicates that one entity possesses or is characterized by a set of columns associated with it.
-
B.
numberOfColumnsOnFacade
chosen
Indicates the count of vertical structural or decorative divisions (columns) present on a building’s facade.
-
C.
hasFrontColumns
Indicates that one entity possesses or features columns located at its front side.
-
D.
hasCol
Indicates that one entity possesses, contains, or is associated with a particular color.
-
E.
hasColumnCountBack
Indicates that an entity (such as a table or layout) has a specified number of columns on its back side or rear-facing section.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7333d6dec8190bbc66a71b31ea559 |
completed | April 21, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:16 p.m.