Triple
T15510569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of St Andrew, Ilchester |
E368696
|
entity |
| Predicate | hasVillageChurchCharacter |
P118933
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Church of St Andrew, Ilchester, hasVillageChurchCharacter, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVillageChurchCharacter Context triple: [Church of St Andrew, Ilchester, hasVillageChurchCharacter, yes]
-
A.
hasChurch
Indicates that a place or entity possesses, contains, or is associated with a church.
-
B.
hasChurchType
Indicates that one entity (typically a church) is classified as being of a particular church type or category.
-
C.
hasNumberOfChurches
Indicates the relationship that specifies how many churches are associated with a given entity.
-
D.
hasParishChurchDedication
Indicates that a parish church is dedicated to, or placed under the patronage of, a particular figure, saint, or sacred concept.
-
E.
parishChurchFeatures
Indicates that a parish church possesses or includes specific architectural, artistic, or functional features.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03fd008708190a3657863eb9ac626 |
completed | April 16, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57165288190979b7acb71ad5145 |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:55 a.m.