Triple
T9264164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Waxhaw Presbyterian Church Cemetery |
E222653
|
entity |
| Predicate | hasGraveMarkersFromPeriod |
P87860
|
FINISHED |
| Object | 18th century |
—
|
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: 18th century | Statement: [Old Waxhaw Presbyterian Church Cemetery, hasGraveMarkersFromPeriod, 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGraveMarkersFromPeriod Context triple: [Old Waxhaw Presbyterian Church Cemetery, hasGraveMarkersFromPeriod, 18th century]
-
A.
hasGraveMarkersMaterial
Indicates that the material composition of grave markers is a specified substance or type.
-
B.
hasGraveMarkerShape
Indicates that one entity (a grave or burial site) has a grave marker whose physical form or outline matches the specified shape.
-
C.
hasGraveOrMemorialOf
Indicates that a location or object serves as the grave or memorial site dedicated to a particular person or entity.
-
D.
hasMassGraveOf
Indicates that a location or site contains a mass grave in which the referenced individuals or remains are buried.
-
E.
hasGraveInscription
Indicates that an entity (typically a grave or tomb) bears a specific inscription engraved or written on it.
- 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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0748a1f481909d9d876692cefccc |
completed | April 1, 2026, 11:53 a.m. |
| PD | Predicate disambiguation | batch_69cc7a537bbc8190baee71f556e52a7b |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc95597be081908ece2491dd2f0f74 |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:32 p.m.