Triple
T5548182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boise State University |
E145460
|
entity |
| Predicate | becameFourYearInstitution |
P65308
|
FINISHED |
| Object | 1965 |
—
|
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: 1965 | Statement: [Boise State University, becameFourYearInstitution, 1965]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: becameFourYearInstitution Context triple: [Boise State University, becameFourYearInstitution, 1965]
-
A.
establishedAsPolytechnicIn
Indicates that an institution was formally designated or founded as a polytechnic in a specific year or at a specific time.
-
B.
gainedUniversityStatus
Indicates that an institution has officially achieved recognition or designation as a university.
-
C.
upgradedToCollege
Indicates that an entity has advanced or transitioned from a lower educational level or status to a college-level status or institution.
-
D.
foundedAsCollege
Indicates that an institution was originally established as a college, even if its status or designation later changed.
-
E.
hasFourthTerm
Indicates that an entity possesses or is associated with a specific fourth term in an ordered sequence or list.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe0244c8190aeb995f79f22a039 |
completed | March 22, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69c01b0e72f08190bf705d8fe1639401 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f051e508190b3886d87b4afdd0b |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:35 p.m.