Triple
T137833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Dutch Church of Sleepy Hollow |
E2786
|
entity |
| Predicate | floorPlan |
P5930
|
FINISHED |
| Object | rectangular nave |
—
|
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: rectangular nave | Statement: [Old Dutch Church of Sleepy Hollow, floorPlan, rectangular nave]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floorPlan Context triple: [Old Dutch Church of Sleepy Hollow, floorPlan, rectangular nave]
-
A.
floorPlanType
Indicates the specific layout or configuration category that a floor plan belongs to (e.g., studio, 1-bedroom, open-plan).
-
B.
buildingSection
Indicates a relationship where one entity is a specific section, part, or subdivision of a larger building.
-
C.
architecturalProject
Indicates that one entity is an architectural project associated with, created by, or undertaken for another entity.
-
D.
area
Indicates that one entity has a measured two-dimensional extent or surface size quantified by another entity.
-
E.
floorCount
Indicates the number of floors or levels that a building or structure has.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a6cab88190944c8f74d8d1605c |
completed | Feb. 28, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69a25652efdc8190b85b33735a9e6370 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2570f45bc81909ebba7ee5f602976 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.