Triple
T7633070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnson/Burgee Architects |
E172802
|
entity |
| Predicate | usedDesignElements |
P64959
|
FINISHED |
| Object | classical references |
—
|
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: classical references | Statement: [Johnson/Burgee Architects, usedDesignElements, classical references]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedDesignElements Context triple: [Johnson/Burgee Architects, usedDesignElements, classical references]
-
A.
designUse
Indicates that one entity is used as a design basis, purpose, or intended functional use for another entity.
-
B.
designedWith
Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
-
C.
usesElementsOf
chosen
Indicates that one entity incorporates, applies, or draws upon components, principles, or features derived from another entity.
-
D.
usedForeignDesigns
Indicates that an entity employed or incorporated designs originating from a foreign or external source.
-
E.
visualElements
Indicates that one entity contains, uses, or is characterized by specific visual components or graphical features 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faa5f4f08190a7e5259a1b6fb576 |
completed | March 27, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e8cadc8190b7977fcd213954dd |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:57 p.m.