Triple
T1132552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davidson College |
E23063
|
entity |
| Predicate | residentialRequirement |
P14094
|
FINISHED |
| Object | primarily residential undergraduate college |
—
|
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: primarily residential undergraduate college | Statement: [Davidson College, residentialRequirement, primarily residential undergraduate college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residentialRequirement Context triple: [Davidson College, residentialRequirement, primarily residential undergraduate college]
-
A.
hasResidentialRequirement
chosen
Indicates that an entity is subject to a condition requiring residence in a specified place or under specified living arrangements.
-
B.
residenceType
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
C.
hasResidentialArea
Indicates that an entity includes, contains, or is associated with an area designated for people to live or reside.
-
D.
residence
Indicates that one entity lives at, is based in, or habitually occupies the location represented by the other entity.
-
E.
occupancyRequirement
Indicates that a condition specifies how many or which entities must be present in or using a particular space or resource.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb48de2081909a0dce005b1c9df1 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.