Triple
T8684814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Wendreda’s Church, March |
E206130
|
entity |
| Predicate | centuryOfMainFabric |
P6333
|
FINISHED |
| Object | medieval period |
—
|
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: medieval period | Statement: [St Wendreda’s Church, March, centuryOfMainFabric, medieval period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centuryOfMainFabric Context triple: [St Wendreda’s Church, March, centuryOfMainFabric, medieval period]
-
A.
centuryOfManufacture
Indicates the specific century during which an item was manufactured.
-
B.
designedInCentury
Indicates that something was created or planned during a specific century.
-
C.
originalCentury
Indicates the century in which something was originally created, produced, or came into existence.
-
D.
constructionCentury
chosen
Indicates the century during which something was constructed or built.
-
E.
ownedUntilCentury
Indicates that an entity possessed or held ownership of another entity up to, but not necessarily beyond, 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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4aeae740819099093906ccc5f640 |
completed | March 31, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69cc4569f9048190b9c86b4c81103d35 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:32 p.m.