Triple
T1729988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todai |
E37587
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Todai |
E37587
|
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: Todai | Statement: [Todai, shortName, Todai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todai Context triple: [Todai, shortName, Todai]
-
A.
Todai
chosen
Todai is the common nickname for the University of Tokyo, Japan’s most prestigious and influential national research university.
-
B.
Tokyo Daigaku
Tokyo Daigaku, commonly known as the University of Tokyo, is Japan’s most prestigious national research university and a leading institution in higher education and scholarship in Asia.
-
C.
Misurata University
Misurata University is a public higher education institution in the city of Misrata, Libya, offering a range of undergraduate and postgraduate programs across multiple disciplines.
-
D.
Keijo Imperial University
Keijo Imperial University was a Japanese imperial university established in colonial Korea that served as a major center for higher education and research under Japanese rule.
-
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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa637f202c8190b46a31bef51465c8 |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44eb4706c8190870d99abc140973d |
completed | March 13, 2026, 5:51 p.m. |
Created at: March 4, 2026, 7:30 p.m.