Triple
T18367518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of St Kenelm, Enstone |
E440085
|
entity |
| Predicate | localCharacter |
P30854
|
FINISHED |
| Object | traditional village church |
—
|
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: traditional village church | Statement: [Church of St Kenelm, Enstone, localCharacter, traditional village church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localCharacter Context triple: [Church of St Kenelm, Enstone, localCharacter, traditional village church]
-
A.
petCharacter
Indicates that one entity is a pet belonging to, cared for by, or closely associated with another entity as its owner or companion.
-
B.
currentCharacter
Indicates that an entity is the character presently in focus or being actively considered in a given context or sequence.
-
C.
semiAutobiographicalCharacter
Indicates that a character is based partly on the real-life experiences, personality, or identity of its creator or author, but is not a fully direct self-portrayal.
-
D.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
-
E.
regionCharacter
chosen
Indicates a characteristic, feature, or quality that typifies or defines a particular region.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5174f5f448190a1fc67d3039aadd9 |
completed | April 19, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:38 a.m.