Triple
T819811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka University |
E17727
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Handai
Handai is the common Japanese abbreviation for Osaka University, a leading national research university based in Osaka, Japan.
|
E100333
|
NE FINISHED |
How this triple was built (4 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: Handai | Statement: [Osaka University, shortName, Handai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Handai Context triple: [Osaka University, shortName, Handai]
-
A.
Nonouti
Nonouti is a coral atoll in the southern Gilbert Islands of Kiribati, known for its traditional villages, lagoon, and subsistence fishing lifestyle.
-
B.
Hana
Hana is a compassionate Canadian army nurse in Michael Ondaatje's novel "The English Patient," who cares for a badly burned man in an abandoned Italian villa during World War II.
-
C.
Nisshoki
Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
-
D.
Minna
Minna is a major city and administrative center in north-central Nigeria, known as the capital of Niger State and a regional hub for trade and transportation.
-
E.
Shōhō
Shōhō was a Japanese light aircraft carrier of the Imperial Japanese Navy during World War II, notable for being the first Japanese carrier sunk in the war during the Battle of the Coral Sea.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Handai Triple: [Osaka University, shortName, Handai]
Generated description
Handai is the common Japanese abbreviation for Osaka University, a leading national research university based in Osaka, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Handai Target entity description: Handai is the common Japanese abbreviation for Osaka University, a leading national research university based in Osaka, Japan.
-
A.
Nonouti
Nonouti is a coral atoll in the southern Gilbert Islands of Kiribati, known for its traditional villages, lagoon, and subsistence fishing lifestyle.
-
B.
Hana
Hana is a small, remote town on the eastern coast of Maui, Hawaii, known for its lush landscapes, waterfalls, and the scenic Road to Hana.
-
C.
Hana
Hana is a compassionate Canadian army nurse in Michael Ondaatje's novel "The English Patient," who cares for a badly burned man in an abandoned Italian villa during World War II.
-
D.
Nisshoki
Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
-
E.
Minna
Minna is a major city and administrative center in north-central Nigeria, known as the capital of Niger State and a regional hub for trade and transportation.
- F. None of above. chosen
Provenance (5 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab6698d881908d8c5d91259f97ec |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7928f8a808190aaf5f2a2f3ee676f |
completed | March 4, 2026, 2:01 a.m. |
| NEDg | Description generation | batch_69a7976b7334819082bb9f40601c1092 |
completed | March 4, 2026, 2:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a79b206a5481908591ee9e1d6b3fdd |
completed | March 4, 2026, 2:38 a.m. |
Created at: March 1, 2026, 7:38 p.m.