Triple
T2841660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doshisha University |
E62482
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | Doshisha |
E62482
|
NE 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: Doshisha | Statement: [Doshisha University, abbreviation, Doshisha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doshisha Context triple: [Doshisha University, abbreviation, Doshisha]
-
A.
Doshisha University
chosen
Doshisha University is a prestigious private university in Kyoto, Japan, known for its strong liberal arts education and historical Christian roots.
-
B.
Ritsumeikan University
Ritsumeikan University is a prominent private research university in Japan known for its comprehensive academic programs and strong international focus.
-
C.
Seisen University
Seisen University is a private Catholic liberal arts university in Tokyo, Japan, known for its focus on humanities, global studies, and education.
-
D.
Kansai Gaidai University
Kansai Gaidai University is a private Japanese university renowned for its programs in foreign languages, international studies, and study-abroad opportunities.
-
E.
Setsunan University
Setsunan University is a private Japanese university located in Osaka Prefecture, known for its programs in engineering, pharmacy, and law.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf16d0c08190bb8de4a4160b4414 |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07d33a65481908c7ab4473bed1320 |
completed | March 22, 2026, 11:37 p.m. |
Created at: March 6, 2026, 10:01 p.m.