Triple
T20175632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Mary’s Church, Wirksworth |
E492087
|
entity |
| Predicate | hasMedievalFeatures |
P66656
|
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: [St Mary’s Church, Wirksworth, hasMedievalFeatures, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMedievalFeatures Context triple: [St Mary’s Church, Wirksworth, hasMedievalFeatures, yes]
-
A.
hasMedievalElements
chosen
Indicates that something incorporates characteristics, motifs, or features typical of the medieval period.
-
B.
isMedieval
Indicates that something belongs to, originates from, or is characteristic of the medieval (Middle Ages) period.
-
C.
medievalStatus
Indicates the social, legal, or hierarchical standing an entity holds within a medieval societal structure.
-
D.
hasMedievalStreetPattern
Indicates that an area’s street layout follows or preserves a characteristic medieval pattern of routes, blocks, and spaces.
-
E.
isMedievalForm
Indicates that one form or variant of something is specifically the medieval version of another form or of a general concept.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e668eaa3b88190bef4f2db0125fdfc |
completed | April 20, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:36 p.m.