Triple
T25771642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palio di Siena |
E649035
|
entity |
| Predicate | bannerDepicts |
P94330
|
FINISHED |
| Object | religious imagery |
—
|
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: religious imagery | Statement: [Palio di Siena, bannerDepicts, religious imagery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bannerDepicts Context triple: [Palio di Siena, bannerDepicts, religious imagery]
-
A.
depictedAbove
Indicates that one entity is visually represented in an image, illustration, or diagram that is positioned above another referenced element in a layout or document.
-
B.
imageDepictedIn
Indicates that a particular image is shown, represented, or included within another resource or context.
-
C.
intendedToDepict
Indicates that one entity was purposefully created or selected in order to visually represent or portray another entity.
-
D.
brandImage
Indicates the perceived overall impression, reputation, and associations that people hold about a particular brand.
-
E.
typicallyDepicts
chosen
Indicates that one entity is most commonly or characteristically portrayed or represented by the other in depictions or images.
- 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_69e7ab333b508190b6d708d8d9a328ed |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fdf84fb88190b40280340332743e |
completed | May 2, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 5:30 a.m.