Triple
T24979375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosehill Cemetery Company |
E625119
|
entity |
| Predicate | managesOneOfLargestCemeteriesIn |
P159056
|
FINISHED |
| Object | Chicago |
—
|
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: Chicago | Statement: [Rosehill Cemetery Company, managesOneOfLargestCemeteriesIn, Chicago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managesOneOfLargestCemeteriesIn Context triple: [Rosehill Cemetery Company, managesOneOfLargestCemeteriesIn, Chicago]
-
A.
isOneOfLargestCemeteriesIn
Indicates that a cemetery ranks among the largest cemeteries located within a specified area or region.
-
B.
isLargestCemeteryOf
Indicates that one cemetery is the largest (by size, capacity, or another defined measure) among all cemeteries associated with a given place or entity.
-
C.
isSecondLargestCemeteryIn
Indicates that a cemetery is the second largest (by size or capacity) among all cemeteries within a specified geographic area.
-
D.
hasCemetery
Indicates that one entity possesses, contains, or includes a cemetery associated with it.
-
E.
oneOfOldestCemeteriesIn
Indicates that a cemetery is among the oldest cemeteries located within a specified place or region.
- 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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 18, 2026, 6:02 a.m.