Triple
T22341716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | former Convento de São Francisco da Cidade |
E552289
|
entity |
| Predicate | hasFunctionChange |
P6654
|
FINISHED |
| Object | from religious convent to cultural complex |
—
|
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: from religious convent to cultural complex | Statement: [former Convento de São Francisco da Cidade, hasFunctionChange, from religious convent to cultural complex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFunctionChange Context triple: [former Convento de São Francisco da Cidade, hasFunctionChange, from religious convent to cultural complex]
-
A.
hasModuleChange
Indicates that an entity has undergone a modification or update in one of its modules or modular components.
-
B.
functionChange
chosen
Indicates that an entity’s function, role, or operational behavior has been altered from one state or purpose to another.
-
C.
hasFunctionInPresent
Indicates that an entity currently performs, exhibits, or fulfills a specific function or role at the present time.
-
D.
hasFunctionDuring
Indicates that an entity performs or exhibits a specific function only within a specified time period or temporal context.
-
E.
hasResultingChange
Indicates that one entity causes or leads to a specific change or transformation in another entity or state.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15794fae48190a2b79e9ae4b57bb1 |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:43 p.m.