Triple
T30072097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Sebastião da Giesteira e Nossa Senhora da Conceição |
E764212
|
entity |
| Predicate | hasFormerParish |
P101108
|
FINISHED |
| Object | São Sebastião da Giesteira |
—
|
NE NERFINISHED |
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: São Sebastião da Giesteira | Statement: [São Sebastião da Giesteira e Nossa Senhora da Conceição, hasFormerParish, São Sebastião da Giesteira]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerParish Context triple: [São Sebastião da Giesteira e Nossa Senhora da Conceição, hasFormerParish, São Sebastião da Giesteira]
-
A.
isHistoricParishOf
chosen
Indicates that one entity is a historic parish that formerly served, or is recognized as having served, as the parish jurisdiction for another entity.
-
B.
hasTraditionalParish
Indicates that an entity is associated with or belongs to a specific traditional parish.
-
C.
hasMainParish
Indicates that an entity is associated with or administered by a specific primary parish.
-
D.
hasAncientParishStatus
Indicates that an entity possesses the legal or historical status of being an ancient parish.
-
E.
hasParishHistory
Indicates that an entity possesses or is associated with a documented historical record of a parish.
- 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_69f22472eee081909791dc372aa766e9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: April 29, 2026, 7:01 p.m.