Triple
T3161480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herzog & de Meuron |
E66109
|
entity |
| Predicate | specializesInBuildingType |
P1844
|
FINISHED |
| Object | museums |
—
|
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: museums | Statement: [Herzog & de Meuron, specializesInBuildingType, museums]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: specializesInBuildingType Context triple: [Herzog & de Meuron, specializesInBuildingType, museums]
-
A.
buildingType
chosen
Indicates the specific category or function that characterizes what kind of building something is.
-
B.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
C.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
D.
constructionBase
Indicates that one entity serves as the foundational structure or base upon which another entity is constructed or built.
-
E.
buildingSystem
Indicates that one entity functions as a system, subsystem, or organized set of components that serves or supports the operation of a building.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada617824c8190a293230041b2f1ea |
completed | March 8, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfe0a948190928f2201d671c654 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.