Triple
T653726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagoya University |
E11599
|
entity |
| Predicate | charteredAsUniversity |
P139
|
FINISHED |
| Object | 1939 |
—
|
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: 1939 | Statement: [Nagoya University, charteredAsUniversity, 1939]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: charteredAsUniversity Context triple: [Nagoya University, charteredAsUniversity, 1939]
-
A.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
-
B.
universityLocatedIn
Indicates that a university is situated within or associated with a specific geographic location or administrative region.
-
C.
isAmongOldestUniversitiesIn
Indicates that an educational institution ranks among the oldest universities within a specified geographic or organizational context.
-
D.
charteredIn
chosen
Indicates that an organization or entity has been formally established, authorized, or incorporated within a specified jurisdiction or location.
-
E.
establishedAsClinicalSchool
Indicates that an institution or facility has been formally designated and recognized as a clinical school for education and training purposes.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4a660c8190b887cb4da01ef7ae |
completed | March 1, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69a49d1001088190aa7ca3c8f2ad0e32 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.