Triple
T4030562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thorney Abbey (translated relics) |
E83698
|
entity |
| Predicate | laterRestingPlaceOf |
P196
|
FINISHED |
| Object | relics of Saint Botolph |
—
|
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: relics of Saint Botolph | Statement: [Thorney Abbey (translated relics), laterRestingPlaceOf, relics of Saint Botolph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterRestingPlaceOf Context triple: [Thorney Abbey (translated relics), laterRestingPlaceOf, relics of Saint Botolph]
-
A.
burialPlace
chosen
Indicates the location where a person or entity is buried.
-
B.
hasMassGraveOf
Indicates that a location or site contains a mass grave in which the referenced individuals or remains are buried.
-
C.
memorialLocatedAt
Indicates that a memorial is situated or found at a specific location.
-
D.
countryOfBurial
Indicates the country in which a person or entity is buried.
-
E.
isCemeteryFor
Indicates that one entity serves as the burial ground designated for another entity, such as a community, group, or location.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaf1d8208190951a20ad7e5ab7bc |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.