Triple
T89655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Public Library |
E1801
|
entity |
| Predicate | mainBuildingStyle |
P607
|
FINISHED |
| Object | Beaux-Arts architecture |
—
|
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: Beaux-Arts architecture | Statement: [New York Public Library, mainBuildingStyle, Beaux-Arts architecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainBuildingStyle Context triple: [New York Public Library, mainBuildingStyle, Beaux-Arts architecture]
-
A.
architecturalStyle
chosen
Indicates the architectural design tradition, movement, or style that characterizes the form and appearance of a structure or built work.
-
B.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
C.
building
Indicates that one entity constructs, assembles, or develops another entity, typically over a period of time.
-
D.
significantBuilding
Indicates that a building holds notable importance, prominence, or special status within a particular context (e.g., historical, cultural, architectural, or functional).
-
E.
architectOfMainBuilding
Indicates that one entity is the architect who designed the main building 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24feef1b08190bb9525f71cce053e |
completed | Feb. 28, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69a24eb82d408190b0f9c786152e8e4c |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.