Triple
T24992840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zacatecas Cathedral |
E625490
|
entity |
| Predicate | façadeDecorationType |
P157897
|
FINISHED |
| Object | religious iconography |
—
|
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 iconography | Statement: [Zacatecas Cathedral, façadeDecorationType, religious iconography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: façadeDecorationType Context triple: [Zacatecas Cathedral, façadeDecorationType, religious iconography]
-
A.
façadeType
Indicates the specific kind or style of façade that characterizes or is applied to a building or structure.
-
B.
façadeDescription
Indicates a textual description that characterizes the appearance, style, or features of a building’s façade.
-
C.
façadeDesigner
Indicates that one entity is responsible for designing the façade (external face) of a building or structure for another entity.
-
D.
façadeConstruction
Indicates the action or process of constructing, assembling, or installing the exterior façade of a building or structure.
-
E.
façadeOrientation
Indicates the directional orientation that a building’s façade faces relative to a reference (e.g., cardinal directions or a main street).
- F. None of above. chosen
Provenance (4 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 18, 2026, 6:04 a.m.