Triple
T34820480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porto São Bento |
E1003756
|
entity |
| Predicate | tilePanelsDepict |
P145812
|
FINISHED |
| Object | historical scenes of Portugal |
—
|
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: historical scenes of Portugal | Statement: [Porto São Bento, tilePanelsDepict, historical scenes of Portugal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tilePanelsDepict Context triple: [Porto São Bento, tilePanelsDepict, historical scenes of Portugal]
-
A.
centralPanelDepicts
Indicates that the central panel of a multi-part work (such as a triptych or polyptych) visually represents or portrays a particular subject or scene.
-
B.
lowerPanelsDepict
Indicates that the lower panels of a work visually represent or portray a particular subject, scene, or content.
-
C.
panels
chosen
Indicates that one entity is composed of, covered by, or divided into flat sections or segments formed by another entity.
-
D.
originalPanelsDisplayedAt
Indicates that certain original panels (such as artwork or comic pages) are or were physically exhibited at a specific location or venue.
-
E.
hasNumberOfInscribedPanels
Indicates the relationship that specifies how many inscribed panels are associated with a given 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_69f76db717088190811b4e744610f37d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77adce5dc81909c8d07ff1c0e9c93 |
completed | May 3, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69f7795b1abc8190823664d1caa94649 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 4 p.m.