Triple
T21931201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Totem Park Residence |
E541569
|
entity |
| Predicate | primaryResidentType |
P542
|
FINISHED |
| Object | first-year undergraduate students |
—
|
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: first-year undergraduate students | Statement: [Totem Park Residence, primaryResidentType, first-year undergraduate students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryResidentType Context triple: [Totem Park Residence, primaryResidentType, first-year undergraduate students]
-
A.
residenceStatus
Indicates the type or condition of an entity’s living arrangement or place of residence in relation to a specified location.
-
B.
residenceType
chosen
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
C.
residencyPattern
Indicates the typical way an entity resides or occupies a place over time, such as its usual location, duration, or frequency of stay.
-
D.
residencyStatus
Indicates the legal or official residential classification of an entity within a particular jurisdiction or context.
-
E.
seatOrMainResidence
Indicates that one entity serves as the primary location, such as the official seat or main residence, of another entity.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123ff16148190843d92bbc1e9bb24 |
completed | April 28, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:47 p.m.