Triple
T30621811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parish church of Sant Carles Borromeu |
E779466
|
entity |
| Predicate | mainParishOf |
P178071
|
FINISHED |
| Object | Sant Carles de la Ràpita |
—
|
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: Sant Carles de la Ràpita | Statement: [Parish church of Sant Carles Borromeu, mainParishOf, Sant Carles de la Ràpita]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainParishOf Context triple: [Parish church of Sant Carles Borromeu, mainParishOf, Sant Carles de la Ràpita]
-
A.
hasMainParish
Indicates that an entity is associated with or administered by a specific primary parish.
-
B.
civilParishIn
Indicates that a civil parish is located within or administratively belongs to a specified larger geographic or governmental area.
-
C.
civilParishFor
Indicates that one entity is the civil parish to which another entity (such as a place or administrative area) belongs or is assigned.
-
D.
isParishSeatOf
Indicates that a location serves as the administrative center or main seat of government for a particular parish.
-
E.
onlyCivilParishOf
Indicates that one entity is the sole civil parish associated with, or contained within, the other entity, with no other civil parishes sharing that association.
- 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f707f380388190954b79d52a321921 |
completed | May 3, 2026, 8:31 a.m. |
Created at: April 29, 2026, 8:27 p.m.