Triple
T29656185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Lupus |
E750270
|
entity |
| Predicate | hasChurchDedication |
P15000
|
FINISHED |
| Object | Parish Church of Malew |
—
|
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: Parish Church of Malew | Statement: [St Lupus, hasChurchDedication, Parish Church of Malew]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChurchDedication Context triple: [St Lupus, hasChurchDedication, Parish Church of Malew]
-
A.
hasAltarDedication
Indicates that an altar is dedicated to, in honor of, or in association with a particular entity or purpose.
-
B.
hasChapelHonoring
Indicates that one entity contains or includes a chapel dedicated to honoring another entity.
-
C.
hasParishChurchDedication
Indicates that a parish church is dedicated to, or placed under the patronage of, a particular figure, saint, or sacred concept.
-
D.
hadTempleDedicatedTo
Indicates that a temple was formally dedicated in honor of, or for the worship of, a particular entity.
-
E.
hasChurch
chosen
Indicates that a place or entity possesses, contains, or is associated with a church.
- 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_69f0d6226fe881908819197c9ef9ee04 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: April 28, 2026, 6:55 p.m.