Triple
T10142396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Institute of Technology |
E231616
|
entity |
| Predicate | elevatedToUniversityStatus |
P23912
|
FINISHED |
| Object | 1929 |
—
|
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: 1929 | Statement: [Tokyo Institute of Technology, elevatedToUniversityStatus, 1929]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevatedToUniversityStatus Context triple: [Tokyo Institute of Technology, elevatedToUniversityStatus, 1929]
-
A.
gainedUniversityStatus
chosen
Indicates that an institution has officially achieved recognition or designation as a university.
-
B.
upgradedToCollege
Indicates that an entity has advanced or transitioned from a lower educational level or status to a college-level status or institution.
-
C.
hasHigherEducationAccess
Indicates that one entity has access to higher education opportunities or institutions relative to another entity or context.
-
D.
collegiateStatus
Indicates the relationship between an entity and a college or university, specifying its status or standing within that academic institution (e.g., enrolled, graduated, affiliated).
-
E.
academicStatus
Indicates the educational or scholarly standing or level an entity holds within an academic context.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb273fec8190818707167e031d58 |
completed | April 2, 2026, 4:05 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba4f5d88190ba68e63be10b08c7 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:07 p.m.