Triple
T29510532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hephaesteum |
E748635
|
entity |
| Predicate | hasColumnsOnFlanks |
P9589
|
FINISHED |
| Object | 13 |
—
|
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: 13 | Statement: [Hephaesteum, hasColumnsOnFlanks, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColumnsOnFlanks Context triple: [Hephaesteum, hasColumnsOnFlanks, 13]
-
A.
numberOfColumnsOnFlanks
chosen
Indicates the count of columns located on the flanking sides of a structure or object.
-
B.
hasFlankFeatures
Indicates that an entity possesses specific characteristics or attributes located on its sides or flanks.
-
C.
hasFrontColumns
Indicates that one entity possesses or features columns located at its front side.
-
D.
hasNumberOfColumnsOnLongSide
Indicates the relationship that specifies how many columns are present along the longer side of an object or structure.
-
E.
hasColumnCountPerSide
Indicates that an entity is associated with a specific number of columns on each side of a defined structure or layout.
- 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_69f0bd461c208190bec20bbf24e02cc5 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_6a00717f539c8190b70dd0e72c6f7d24 |
completed | May 10, 2026, 11:52 a.m. |
| PD | Predicate disambiguation | batch_6a00710278fc81908889afdcf459ff01 |
completed | May 10, 2026, 11:50 a.m. |
Created at: April 28, 2026, 4:32 p.m.