Triple
T35734696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Fargo |
E1032854
|
entity |
| Predicate | cemeteryIncludes |
P1496
|
FINISHED |
| Object | Holy Cross Cemetery, Fargo |
—
|
NE NERFINISHED |
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: Holy Cross Cemetery, Fargo | Statement: [Roman Catholic Diocese of Fargo, cemeteryIncludes, Holy Cross Cemetery, Fargo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cemeteryIncludes Context triple: [Roman Catholic Diocese of Fargo, cemeteryIncludes, Holy Cross Cemetery, Fargo]
-
A.
isCemeteryFor
Indicates that one entity serves as the burial ground designated for another entity, such as a community, group, or location.
-
B.
cemeteryFunction
Indicates that a location serves as a burial ground or place designated for interment of the dead.
-
C.
hasCemetery
chosen
Indicates that one entity possesses, contains, or includes a cemetery associated with it.
-
D.
cemeteryType
Indicates the specific kind or classification of a cemetery associated with an entity.
-
E.
hasCemeteryFeature
Indicates that a cemetery possesses or is characterized by a specific feature or attribute.
- 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_69f76e10e59081908d81ad9ce22f40b6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.