Triple
T35631218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United World College USA |
E1029589
|
entity |
| Predicate | hasResidentialHouses |
—
|
GENERATED |
| Object | student dormitories |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResidentialHouses Context triple: [United World College USA, hasResidentialHouses, student dormitories]
-
A.
hasResidentialBuilding
chosen
Indicates that an entity possesses, contains, or is associated with a residential building as part of its properties or components.
-
B.
hasHouses
Indicates that one entity possesses, controls, or contains one or more houses in relation to another entity or context.
-
C.
hasNumberOfHouses
Indicates the quantity of houses associated with a given entity.
-
D.
hasResidentialBuildingsType
Indicates that an entity is associated with a specific type or category of residential buildings.
-
E.
hasResidentialArea
Indicates that an entity includes, contains, or is associated with an area designated for people to live or reside.
- F. None of above.
Provenance (1 batch)
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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:05 p.m.