Triple
T19827361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Mary the Virgin Church, Bampton |
E476360
|
entity |
| Predicate | hasLaterAdditionsFromCentury |
P137470
|
FINISHED |
| Object | 13th century |
—
|
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: 13th century | Statement: [St Mary the Virgin Church, Bampton, hasLaterAdditionsFromCentury, 13th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLaterAdditionsFromCentury Context triple: [St Mary the Virgin Church, Bampton, hasLaterAdditionsFromCentury, 13th century]
-
A.
acquiredInCentury
Indicates that one entity was acquired during a specific century represented by the other entity.
-
B.
reacquiredInCentury
Indicates that an entity was reacquired during a specified century.
-
C.
attestedUntilCentury
Indicates the latest century up to which the existence or use of something is historically documented or evidenced.
-
D.
existsSinceCentury
Indicates that an entity has existed or been in effect since a specified century.
-
E.
existedInCentury
Indicates that an entity existed or was present during a specified century.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cb20788190b9deac6b8af6a55d |
completed | April 20, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_69e5305bda388190a23b7191768107b1 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bcf41c8190b685b5adf46a60fc |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:50 p.m.