Triple
T2804435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Frederick Kensett |
E54017
|
entity |
| Predicate | regionDepicted |
P38668
|
FINISHED |
| Object | northeastern United States coastline |
—
|
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: northeastern United States coastline | Statement: [John Frederick Kensett, regionDepicted, northeastern United States coastline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionDepicted Context triple: [John Frederick Kensett, regionDepicted, northeastern United States coastline]
-
A.
regionOfCity
Indicates that a specified area or district is a constituent part or subdivision of a particular city.
-
B.
arealRegion
Indicates that something occupies or pertains to a specific two-dimensional geographic or spatial area.
-
C.
represented region
chosen
Indicates that one entity serves as a symbolic or formal depiction of a specific geographic or spatial area.
-
D.
regionName
Indicates the name assigned to a specific geographic or administrative region.
-
E.
mentionsRegion
Indicates that one entity explicitly refers to or cites a specific geographic region in its content or context.
- 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde2ec2ac8190bd702ad3eafb6aed |
completed | March 7, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69abdd059f308190853191f6ffe2bc6f |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:59 p.m.