Triple
T15569821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sala dos Capelos |
E374208
|
entity |
| Predicate | eraOfMajorRemodeling |
P22153
|
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: [Sala dos Capelos, eraOfMajorRemodeling, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfMajorRemodeling Context triple: [Sala dos Capelos, eraOfMajorRemodeling, 17th century]
-
A.
hasMajorReconstruction
Indicates that an entity has undergone a significant or extensive reconstruction or renovation.
-
B.
eraOfMajorConstruction
chosen
Indicates the time period during which the primary or most significant phase of construction for an entity took place.
-
C.
renovationPeriod
Indicates the time span during which an object, structure, or entity undergoes renovation or refurbishment.
-
D.
renovatedAfter
Indicates that one entity was renovated at a later time than another entity.
-
E.
hasRenovation
Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e1de0488190b3639fc25f79d343 |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:10 a.m.