Triple
T35631218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United World College USA |
E1029589
|
entity |
| Predicate | hasResidentialHouses |
P137406
|
FINISHED |
| Object | student dormitories |
—
|
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: student dormitories | Statement: [United World College USA, hasResidentialHouses, student dormitories]
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 (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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.