Triple
T5123510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Sodor and Man |
E115526
|
entity |
| Predicate | hasTypeOfChurches |
P45953
|
FINISHED |
| Object | parish churches |
—
|
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: parish churches | Statement: [Diocese of Sodor and Man, hasTypeOfChurches, parish churches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfChurches Context triple: [Diocese of Sodor and Man, hasTypeOfChurches, parish churches]
-
A.
hasChurchType
chosen
Indicates that one entity (typically a church) is classified as being of a particular church type or category.
-
B.
hasChurch
Indicates that a place or entity possesses, contains, or is associated with a church.
-
C.
hasReligiousInstitutionType
Indicates that an entity is associated with, or classified by, a specific type of religious institution.
-
D.
hasCathedralDenomination
Indicates the religious denomination with which a cathedral is affiliated or to which it belongs.
-
E.
hasNumberOfChurches
Indicates the relationship that specifies how many churches are associated with a given entity.
- 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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77aa68b88190a50dd736a72d2901 |
completed | March 20, 2026, 4:36 p.m. |
Created at: March 20, 2026, 1:42 p.m.