Triple
T15459795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Mary Magdalene, Richmond |
E371865
|
entity |
| Predicate | towerBuiltInCentury |
P59976
|
FINISHED |
| Object | 15th 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: 15th century | Statement: [St Mary Magdalene, Richmond, towerBuiltInCentury, 15th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: towerBuiltInCentury Context triple: [St Mary Magdalene, Richmond, towerBuiltInCentury, 15th century]
-
A.
containsBuildingFromCentury
Indicates that a location or area includes at least one building that originates from a specified century.
-
B.
locatedInBuildingConstructedInCentury
Indicates that something is located in a building whose construction dates to a specified century.
-
C.
constructionCentury
Indicates the century during which something was constructed or built.
-
D.
towerDatingFrom
chosen
Indicates that a tower originates from, or was constructed in, a specified time period or date.
-
E.
fortressWallBuiltInCentury
Indicates that a fortress wall was constructed during a specified century.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f17663c8190b995c7c3129c90d6 |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded284bd008190b31c53b4f1cebadd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:32 a.m.