Triple
T2801991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hosei University |
E53167
|
entity |
| Predicate | universityCharterYear |
P26573
|
FINISHED |
| Object | 1920 |
—
|
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: 1920 | Statement: [Hosei University, universityCharterYear, 1920]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universityCharterYear Context triple: [Hosei University, universityCharterYear, 1920]
-
A.
foundedAsUniversityIn
chosen
Indicates that an institution was originally established as a university in a specific year or time period.
-
B.
campusOpeningYear
Indicates the calendar year in which a campus first officially opened or began operation.
-
C.
foundedAt
Indicates the time or date at which an entity (such as an organization, project, or institution) was established or created.
-
D.
awardingBodyFoundedIn
Indicates the year or date when the awarding body (the organization that grants awards) was established or founded.
-
E.
oldestUniversityIn
Indicates that a university is the most ancient or earliest established institution of higher education within a specified geographic region or entity.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abde2ec2ac8190bd702ad3eafb6aed |
completed | March 7, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69abdd059f308190853191f6ffe2bc6f |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:58 p.m.