Triple
T40359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Martin’s Church, Bladon, Oxfordshire |
E797
|
entity |
| Predicate | hasMemorialsTo |
P501
|
FINISHED |
| Object | Churchill family members |
—
|
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: Churchill family members | Statement: [St Martin’s Church, Bladon, Oxfordshire, hasMemorialsTo, Churchill family members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemorialsTo Context triple: [St Martin’s Church, Bladon, Oxfordshire, hasMemorialsTo, Churchill family members]
-
A.
hasMemorial
chosen
Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
-
B.
commemoratedBy
Indicates that something is honored, remembered, or celebrated through a particular action, event, object, or representation.
-
C.
commemoratedOn
Indicates that something is remembered, honored, or celebrated on a specific date or occasion.
-
D.
commemoratesFromCountry
Indicates that one entity serves as a commemoration (such as a memorial, event, or honor) originating from or established by a specified country.
-
E.
commemoratesToCountry
Indicates that something serves as a memorial or tribute to a particular country.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24b80f4a8819090d2bffe29824b90 |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24ab74c548190a54872e15c8394c3 |
completed | Feb. 28, 2026, 1:53 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.