Triple
T11714990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foggy Bottom campus |
E278472
|
entity |
| Predicate | hasStudentHousingType |
P542
|
FINISHED |
| Object | on-campus residence halls |
—
|
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: on-campus residence halls | Statement: [Foggy Bottom campus, hasStudentHousingType, on-campus residence halls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentHousingType Context triple: [Foggy Bottom campus, hasStudentHousingType, on-campus residence halls]
-
A.
hasStudentHousingCooperationWith
Indicates that one institution collaborates with another to provide or manage student housing or accommodation services.
-
B.
hasHousingAccess
Indicates that an entity has the ability, right, or opportunity to obtain or use suitable housing.
-
C.
residenceType
chosen
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
D.
studentClassHoused
Indicates that a particular student’s class is accommodated or located within a specific housing or facility.
-
E.
houseAffiliationAsStudent
Indicates that an individual, in their role as a student, is or was affiliated with a particular house (e.g., dormitory, residential college, or similar grouping).
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4bf54d88190a8e07fbbf8d9e962 |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7d483081909c2a101087515d74 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.