Triple
T6590305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington & Jefferson College |
E159335
|
entity |
| Predicate | hasHousingPolicy |
P71661
|
FINISHED |
| Object | primarily residential |
—
|
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 | Statement: [Washington & Jefferson College, hasHousingPolicy, primarily residential]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHousingPolicy Context triple: [Washington & Jefferson College, hasHousingPolicy, primarily residential]
-
A.
hasPublicHousing
Indicates that a location or jurisdiction provides or contains government-funded residential housing available to the public.
-
B.
hasHousingAccess
Indicates that an entity has the ability, right, or opportunity to obtain or use suitable housing.
-
C.
hasPublicHousingAuthority
Indicates that an entity is associated with, governed by, or served by a specific public housing authority.
-
D.
hasHousingUnits
Indicates that an entity possesses or contains a specified number or set of housing units.
-
E.
focusesOnHousingSupport
Indicates that the primary attention or effort within a given context is directed toward providing or improving housing-related assistance or support.
- F. None of above. chosen
Provenance (4 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c07cdf048190945ca5810fb1de88 |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6acfb462481909cb7aff5af4bca9d |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6c07bb434819096ec3e3b966042a5 |
completed | March 27, 2026, 5:38 p.m. |
Created at: March 27, 2026, 1:55 p.m.