Triple
T21378571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Furley |
E527278
|
entity |
| Predicate | housingTypeManaged |
P82333
|
FINISHED |
| Object | apartment building |
—
|
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: apartment building | Statement: [Ralph Furley, housingTypeManaged, apartment building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: housingTypeManaged Context triple: [Ralph Furley, housingTypeManaged, apartment building]
-
A.
buildingUseManaged
chosen
Indicates that an entity is responsible for overseeing, controlling, or administering the use or function of a building.
-
B.
homeManager
Indicates that one entity manages, oversees, or is responsible for the operations or affairs of another entity’s home or household.
-
C.
hasHousingArrangement
Indicates that an entity has a specific type or status of housing or living arrangement in relation to another entity or context.
-
D.
housingPattern
Indicates the typical arrangement or distribution of housing units or residential structures within a given area or context.
-
E.
houseFoundedControlled
Indicates that a particular house or dynasty was established under the authority or control of a specific entity (such as a person, group, or institution).
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cb138081909bcbf295483656cb |
completed | April 22, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:11 p.m.