Triple
T37308836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Seo del Salvador |
E926148
|
entity |
| Predicate | majorBaroqueRemodeling |
P201417
|
FINISHED |
| Object | 17th century |
—
|
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: 17th century | Statement: [La Seo del Salvador, majorBaroqueRemodeling, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorBaroqueRemodeling Context triple: [La Seo del Salvador, majorBaroqueRemodeling, 17th century]
-
A.
baroqueArchitect
Indicates that one entity is an architect who works in, is associated with, or is characterized by the Baroque architectural style in relation to another entity.
-
B.
currentBaroqueBuildingConstructed
Indicates that the referenced Baroque-style building is presently in the process of being constructed.
-
C.
renovatedBy
Indicates that an entity has been improved, restored, or updated through renovation work performed by another entity.
-
D.
majorRestorationLocation
Indicates the primary place where a significant restoration or refurbishment of an object, structure, or work was carried out.
-
E.
architectOfRenovation
Indicates that one entity is the architect responsible for designing or overseeing the renovation of another entity.
- 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_69f76eb1bc508190924e9fa5d8acdeb3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fff328ddc0819080642334a41fcf95 |
completed | May 10, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69fff2e0971c819081aa66f4a6a34b28 |
completed | May 10, 2026, 2:52 a.m. |
| PDg | Predicate description generation | batch_69fff327d7788190a41ea5cbae060177 |
completed | May 10, 2026, 2:53 a.m. |
Created at: May 3, 2026, 4:16 p.m.