Triple
T23856771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dieweg Cemetery |
E592330
|
entity |
| Predicate | ceasedRegularBurials |
P84274
|
FINISHED |
| Object | 1958 |
—
|
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: 1958 | Statement: [Dieweg Cemetery, ceasedRegularBurials, 1958]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceasedRegularBurials Context triple: [Dieweg Cemetery, ceasedRegularBurials, 1958]
-
A.
numberOfBurials
Indicates the total count of burial events associated with a given entity.
-
B.
hasNotableBurials
Indicates that a place, typically a cemetery or burial site, contains the graves or remains of individuals considered notable or significant.
-
C.
hasBurialsFrom
Indicates that a location or site contains burials originating from a specified time period, culture, or source.
-
D.
hasBurialsOf
Indicates that a location or site contains or includes the burial places of certain individuals or groups.
-
E.
usedAsBurialGroundUntil
chosen
Indicates that a place functioned as a burial ground up to a specified end time or date.
- 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_69e25d22eb488190914b193aff952e83 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c98b29a881909eb60c1be1acdbe9 |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:12 p.m.