Triple
T2469848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gate of Heaven Cemetery, Hawthorne, New York, United States |
E55342
|
entity |
| Predicate | cemeterySection |
P40046
|
FINISHED |
| Object | sections dedicated to family plots |
—
|
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: sections dedicated to family plots | Statement: [Gate of Heaven Cemetery, Hawthorne, New York, United States, cemeterySection, sections dedicated to family plots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cemeterySection Context triple: [Gate of Heaven Cemetery, Hawthorne, New York, United States, cemeterySection, sections dedicated to family plots]
-
A.
hasCemetery
Indicates that one entity possesses, contains, or includes a cemetery associated with it.
-
B.
cemeteryType
Indicates the specific kind or classification of a cemetery associated with an entity.
-
C.
isCemeteryFor
Indicates that one entity serves as the burial ground designated for another entity, such as a community, group, or location.
-
D.
locatedInCemetery
Indicates that one entity is situated within the grounds or area of a cemetery.
-
E.
burialPlace
Indicates the location where a person or entity is buried.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0b3ea308190a6d8499c2a542c50 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd2baee308190bdaa41ef1f6bc9cc |
completed | March 7, 2026, 7:24 a.m. |
Created at: March 6, 2026, 9:44 p.m.