Triple
T37284657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Wiles Building |
E925497
|
entity |
| Predicate | universityDepartmentHoused |
P187699
|
FINISHED |
| Object | Mathematical Institute |
—
|
NE NERFINISHED |
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: Mathematical Institute | Statement: [Andrew Wiles Building, universityDepartmentHoused, Mathematical Institute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universityDepartmentHoused Context triple: [Andrew Wiles Building, universityDepartmentHoused, Mathematical Institute]
-
A.
seatOfUniversity
Indicates that a location serves as the official seat or main campus of a university.
-
B.
locatedInFaculty
Indicates that an entity (such as a department, office, or program) is situated within or belongs administratively to a specific faculty.
-
C.
hasAcademicDepartment
Indicates that an institution or organization includes or is associated with a specific academic department.
-
D.
campusUnitOf
Indicates that one entity is an organizational unit or subdivision that belongs to or operates within a particular campus.
-
E.
universitySectionOf
Indicates that one entity is a specific section, division, or part within a larger university.
- 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_69f76eafe20c8190856d3b996a4c31a7 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb78c982ac8190846efe8f6209e5d1 |
completed | May 6, 2026, 5:22 p.m. |
Created at: May 3, 2026, 4:16 p.m.