Triple
T10636663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu House |
E250597
|
entity |
| Predicate | usesDesignConcept |
P1529
|
FINISHED |
| Object | complex geometry |
—
|
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: complex geometry | Statement: [Wu House, usesDesignConcept, complex geometry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesDesignConcept Context triple: [Wu House, usesDesignConcept, complex geometry]
-
A.
hasDesign
chosen
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
B.
designUse
Indicates that one entity is used as a design basis, purpose, or intended functional use for another entity.
-
C.
designedWith
Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
-
D.
hasDesignConsideration
Indicates that one entity takes another entity into account as a factor, constraint, or requirement in its design or planning.
-
E.
designMethod
Indicates that one entity is used as the method, approach, or technique by which another entity is designed or created.
- 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.