Triple
T34215179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Sebastião da Pedreira |
E877764
|
entity |
| Predicate | religiousParishNameOrigin |
P134854
|
FINISHED |
| Object | named after Saint Sebastian |
—
|
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: named after Saint Sebastian | Statement: [São Sebastião da Pedreira, religiousParishNameOrigin, named after Saint Sebastian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousParishNameOrigin Context triple: [São Sebastião da Pedreira, religiousParishNameOrigin, named after Saint Sebastian]
-
A.
parishChurchNameMeaning
chosen
Indicates the meaning or significance of the name of a particular parish church.
-
B.
parishName
Indicates that an entity has the specified parish as its official or recorded name.
-
C.
parishChurchName
Indicates the name of the parish church associated with a given entity.
-
D.
parishFoundedBy
Indicates that a parish was established or created by a specific person or organization.
-
E.
religionAtOrigin
Indicates that an entity had a particular religion or religious affiliation at the time or place of its origin.
- 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_69f349b0b4bc819088c1552424089ee9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff6fba1a5c8190a660279a6271d785 |
completed | May 9, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69ff6f59388c8190a7d6ab7bc7705bc0 |
completed | May 9, 2026, 5:31 p.m. |
Created at: May 1, 2026, 1:55 a.m.