Triple
T3894020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunhill Fields |
E88126
|
entity |
| Predicate | burialsUntil |
P52712
|
FINISHED |
| Object | mid-19th 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: mid-19th century | Statement: [Bunhill Fields, burialsUntil, mid-19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: burialsUntil Context triple: [Bunhill Fields, burialsUntil, mid-19th century]
-
A.
hasBurialsFrom
Indicates that a location or site contains burials originating from a specified time period, culture, or source.
-
B.
cemeteryBurialsSince
Indicates the number of burials that have occurred in a cemetery from a specified point in time onward.
-
C.
numberOfBurials
Indicates the total count of burial events associated with a given entity.
-
D.
burials
Indicates that one entity is interred or laid to rest in a grave or burial site associated with another entity.
-
E.
eraOfMostBurials
Indicates the historical time period during which the greatest number of burials occurred for a given site or context.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75b5b808190a348a31b1325d3d0 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef1aada308190821a3dfa6af170b3 |
completed | March 9, 2026, 4:13 p.m. |
Created at: March 9, 2026, 3:21 p.m.