Triple
T12820493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Carmel Cemetery, Hillside, Illinois, United States |
E306513
|
entity |
| Predicate | hasBurialSection |
P67670
|
FINISHED |
| Object | sections for priests and religious |
—
|
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 for priests and religious | Statement: [Mount Carmel Cemetery, Hillside, Illinois, United States, hasBurialSection, sections for priests and religious]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBurialSection Context triple: [Mount Carmel Cemetery, Hillside, Illinois, United States, hasBurialSection, sections for priests and religious]
-
A.
hasBurialSections
chosen
Indicates that one entity (typically a burial ground or cemetery) is divided into or associated with specific burial sections.
-
B.
hasBurialVault
Indicates that an entity possesses or is associated with a specific burial vault used for interment or storage of remains.
-
C.
hasCemetery
Indicates that one entity possesses, contains, or includes a cemetery associated with it.
-
D.
hasBurialsFrom
Indicates that a location or site contains burials originating from a specified time period, culture, or source.
-
E.
hasTypeOfBurial
Indicates the specific kind or method of burial 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9e5a2481908921d097df541db8 |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d964100f7481909a197396003d4a71 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:31 p.m.