Triple
T2618244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alta Vista Cemetery, Gainesville, Georgia |
E58940
|
entity |
| Predicate | hasTypeOfGrave |
P42243
|
FINISHED |
| Object | individual graves |
—
|
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: individual graves | Statement: [Alta Vista Cemetery, Gainesville, Georgia, hasTypeOfGrave, individual graves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfGrave Context triple: [Alta Vista Cemetery, Gainesville, Georgia, hasTypeOfGrave, individual graves]
-
A.
hasTypeOfBurial
Indicates the specific kind or method of burial associated with an entity.
-
B.
hasCemeteryType
Indicates that a cemetery is classified as belonging to a specific type or category of cemetery.
-
C.
hasGravestone
Indicates that one entity possesses, is associated with, or is commemorated by a gravestone.
-
D.
hasGravesFrom
Indicates that a location or site contains graves originating from or associated with a specified source place or group.
-
E.
cemeteryType
Indicates the specific kind or classification of a cemetery associated with an entity.
- 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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdaca581881908fe8d3d820f839b7 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd80f48888190afdf7e3e042157d0 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abdac82b688190886a6ec2d6e2abc7 |
completed | March 7, 2026, 7:59 a.m. |
Created at: March 6, 2026, 9:50 p.m.