Triple
T12345211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salem Fields Cemetery |
E294334
|
entity |
| Predicate | isTypeOfBurialGround |
P2742
|
FINISHED |
| Object | non-sectarian Jewish cemetery |
—
|
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: non-sectarian Jewish cemetery | Statement: [Salem Fields Cemetery, isTypeOfBurialGround, non-sectarian Jewish cemetery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTypeOfBurialGround Context triple: [Salem Fields Cemetery, isTypeOfBurialGround, non-sectarian Jewish cemetery]
-
A.
hasTypeOfBurial
Indicates the specific kind or method of burial associated with an entity.
-
B.
isCemeteryFor
Indicates that one entity serves as the burial ground designated for another entity, such as a community, group, or location.
-
C.
hasTypeOfGrave
Indicates that an entity is associated with a specific kind or category of grave.
-
D.
hasCemeteryType
Indicates that a cemetery is classified as belonging to a specific type or category of cemetery.
-
E.
cemeteryType
chosen
Indicates the specific kind or classification of a cemetery associated with an entity.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7a4a448190aa70d66dc2f406c1 |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.