Triple
T19393679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Immanuel Episcopal Churchyard, New Castle, Delaware |
E485130
|
entity |
| Predicate | hasGravemarkersStyle |
P11281
|
FINISHED |
| Object | colonial funerary art |
—
|
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: colonial funerary art | Statement: [Immanuel Episcopal Churchyard, New Castle, Delaware, hasGravemarkersStyle, colonial funerary art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGravemarkersStyle Context triple: [Immanuel Episcopal Churchyard, New Castle, Delaware, hasGravemarkersStyle, colonial funerary art]
-
A.
hasGravestoneStyle
chosen
Indicates that an entity’s gravestone is characterized by or associated with a particular style or design.
-
B.
hasGraveMarkersMaterial
Indicates that the material composition of grave markers is a specified substance or type.
-
C.
hasGraveMarkerShape
Indicates that one entity (a grave or burial site) has a grave marker whose physical form or outline matches the specified shape.
-
D.
hasMarker
Indicates that one entity possesses, is associated with, or is identified by a specific marker.
-
E.
hasCaseMarking
Indicates that a linguistic element (such as a noun or pronoun) bears a specific grammatical case marking that signals its syntactic or semantic role in a clause.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b468dd88190acd82b4ee33bd39b |
completed | April 20, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:36 p.m.