Triple
T10636959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torres Maldonado Garden |
E250609
|
entity |
| Predicate | usesDesignApproach |
P56933
|
FINISHED |
| Object | geometric composition |
—
|
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 composition | Statement: [Torres Maldonado Garden, usesDesignApproach, geometric composition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesDesignApproach Context triple: [Torres Maldonado Garden, usesDesignApproach, geometric composition]
-
A.
designMethod
chosen
Indicates that one entity is used as the method, approach, or technique by which another entity is designed or created.
-
B.
hasDesignConsideration
Indicates that one entity takes another entity into account as a factor, constraint, or requirement in its design or planning.
-
C.
includesApproach
Indicates that one entity incorporates, utilizes, or is characterized by a particular method, strategy, or approach in relation to another entity or context.
-
D.
designUse
Indicates that one entity is used as a design basis, purpose, or intended functional use for another entity.
-
E.
hasDesign
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfad9dbc81909a4f78d93ecfaa20 |
completed | April 8, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69d6dd83b114819098e84dc658e82d7e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:04 p.m.