Triple
T27517153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Wilfrid's Church, Ribchester |
E694599
|
entity |
| Predicate | isBuiltNear |
P21298
|
FINISHED |
| Object | site of Roman fort Bremetennacum |
—
|
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: site of Roman fort Bremetennacum | Statement: [St Wilfrid's Church, Ribchester, isBuiltNear, site of Roman fort Bremetennacum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBuiltNear Context triple: [St Wilfrid's Church, Ribchester, isBuiltNear, site of Roman fort Bremetennacum]
-
A.
builtNear
chosen
Indicates that one entity was constructed at a location geographically close to another entity.
-
B.
hasMainBuildingNear
Indicates that the primary or central building associated with an entity is located in close physical proximity to another specified entity or place.
-
C.
hasNearbyCivicBuilding
Indicates that one entity is located close to, or in the immediate vicinity of, a civic building such as a government, public service, or community facility.
-
D.
hasNeighboringBuilding
Indicates that one building is located adjacent to or directly next to another building.
-
E.
hasNearbyInfrastructureType
Indicates that an entity is located close to infrastructure of a specified type.
- 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_69ef53842afc8190ba6bd4e4999bda67 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62efda4cc8190973e1874e98c5ad5 |
completed | May 2, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 1:19 p.m.