Triple
T20603519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basilica of San Zeno |
E506241
|
entity |
| Predicate | bronzeDoorsDepict |
P85290
|
FINISHED |
| Object | biblical scenes |
—
|
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: biblical scenes | Statement: [Basilica of San Zeno, bronzeDoorsDepict, biblical scenes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bronzeDoorsDepict Context triple: [Basilica of San Zeno, bronzeDoorsDepict, biblical scenes]
-
A.
oftenDepictedWithInscription
Indicates that the subject is frequently shown or represented together with a written inscription.
-
B.
monumentDepicts
chosen
Indicates that a monument visually represents, portrays, or is dedicated to a particular person, event, concept, or object.
-
C.
hasMuralsDepicting
Indicates that one entity contains or features murals that visually represent or portray another entity.
-
D.
numberOfFiguresDepicted
Indicates the total count of distinct figures shown within a given depiction or representation.
-
E.
sealDepiction
Indicates that one entity is a depiction or representation found on a seal associated with another 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa22663881909a8d4644e1c48dc2 |
completed | April 20, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69e59fffe1748190825e4eaa90340631 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:41 a.m.