Triple
T32073823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple Building |
E819087
|
entity |
| Predicate | primaryRoleInCollege |
P151897
|
FINISHED |
| Object | primary academic facility |
—
|
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: primary academic facility | Statement: [Temple Building, primaryRoleInCollege, primary academic facility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRoleInCollege Context triple: [Temple Building, primaryRoleInCollege, primary academic facility]
-
A.
roleWithinCollege
Indicates the specific position, function, or capacity an entity holds within a particular college.
-
B.
primaryRoleWithinInstitution
chosen
Indicates the main function, position, or responsibility an entity holds within a specific institution.
-
C.
collegeMajor
Indicates that a person’s primary field of academic study at a college or university is a specified subject or discipline.
-
D.
primaryRoleFor
Indicates that one entity serves as the main or most important role or function for another entity.
-
E.
collegePosition
Indicates the role, title, or position an individual holds within a college or university.
- 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_69f348fecc088190af1470afe5a969f0 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:23 a.m.