Triple
T35932236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Levens Hall |
E1039195
|
entity |
| Predicate | hasTopiaryForms |
P193570
|
FINISHED |
| Object | geometric shapes |
—
|
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: geometric shapes | Statement: [Levens Hall, hasTopiaryForms, geometric shapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTopiaryForms Context triple: [Levens Hall, hasTopiaryForms, geometric shapes]
-
A.
hasAttractiveFoliage
Indicates that an entity possesses foliage that is visually appealing or ornamental in appearance.
-
B.
hasCanopy
Indicates that one entity possesses or is characterized by a canopy associated with it.
-
C.
hasTopConstruction
Indicates that one entity serves as the uppermost structural element or construction positioned on top of another entity.
-
D.
hasPetalType
Indicates that an entity possesses petals characterized by a specific type or form.
-
E.
hasRoofShape
Indicates that one entity possesses or is characterized by a specific shape or form of roof.
- 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_69f76e23e4688190a5369138755138bf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69fd49f612a4819096fe7d5a3bb439ba |
completed | May 8, 2026, 2:27 a.m. |
Created at: May 3, 2026, 4:07 p.m.