Triple
T34492154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singleton House |
E885494
|
entity |
| Predicate | hasLandscapeRelationship |
P193658
|
FINISHED |
| Object | views framed by structural grid |
—
|
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: views framed by structural grid | Statement: [Singleton House, hasLandscapeRelationship, views framed by structural grid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLandscapeRelationship Context triple: [Singleton House, hasLandscapeRelationship, views framed by structural grid]
-
A.
hasLandscapeRelation
chosen
Indicates a spatial or visual relationship between entities within a landscape, such as positioning, adjacency, or contextual association in the environment.
-
B.
hasLandscapeType
Indicates that an entity possesses or is characterized by a particular type or category of landscape.
-
C.
hasLandscapeValue
Indicates that something possesses aesthetic, cultural, or ecological value specifically related to its landscape or scenic qualities.
-
D.
isPartOfLandscape
Indicates that something forms a component or feature within a larger landscape or natural environment.
-
E.
hasLandscapeRegion
Indicates that something is located within, associated with, or characterized by a particular landscape region.
- 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_69f349cafcec8190997b45b3fdc16c27 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff41645c548190b7cb4e53079b93ef |
completed | May 9, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69ff410aa33c8190869ba769ac2a93ce |
completed | May 9, 2026, 2:13 p.m. |
Created at: May 1, 2026, 2:01 a.m.