Triple
T4905750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gehry House |
E109908
|
entity |
| Predicate | originalBuildingType |
P59354
|
FINISHED |
| Object | suburban bungalow |
—
|
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: suburban bungalow | Statement: [Gehry House, originalBuildingType, suburban bungalow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalBuildingType Context triple: [Gehry House, originalBuildingType, suburban bungalow]
-
A.
originalBuilding
Indicates that a building is the initial or first version from which later buildings, modifications, or replacements are derived.
-
B.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
C.
originalBuildingConstructed
Indicates that a particular building was initially constructed in its original form or configuration.
-
D.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
E.
containsBuildingType
Indicates that a location or area includes at least one building of the specified type.
- F. None of above. chosen
Provenance (4 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_69bd441180708190ba42ffb44fea533a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e72ed5c819081104c99a398e0af |
completed | March 20, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69bd6c325e188190823836d79934e9bc |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6cc228088190849f23b7bd4cf549 |
completed | March 20, 2026, 3:50 p.m. |
Created at: March 20, 2026, 1:29 p.m.