Triple
T886193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kindai University |
E19135
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
KINDAI
KINDAI is the commonly used abbreviated name for Kindai University, a major private university in Japan known for its broad range of academic programs and research.
|
E104599
|
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: KINDAI | Statement: [Kindai University, abbreviation, KINDAI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KINDAI Context triple: [Kindai University, abbreviation, KINDAI]
-
A.
Nisshoki
Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
-
B.
Kantei
Kantei is the official office and residence complex of Japan’s Prime Minister, serving as the central hub of the country’s executive government.
-
C.
Kyodai
Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
-
D.
Kawasaki
Kawasaki is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along the Tama River.
-
E.
Moriguchi
Moriguchi is a city in Japan’s Kansai region that forms part of the Osaka metropolitan area and serves as a residential and commercial hub.
- 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: KINDAI Triple: [Kindai University, abbreviation, KINDAI]
Generated description
KINDAI is the commonly used abbreviated name for Kindai University, a major private university in Japan known for its broad range of academic programs and research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KINDAI Target entity description: KINDAI is the commonly used abbreviated name for Kindai University, a major private university in Japan known for its broad range of academic programs and research.
-
A.
Nisshoki
Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
-
B.
Kantei
Kantei is the official office and residence complex of Japan’s Prime Minister, serving as the central hub of the country’s executive government.
-
C.
Kyodai
Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
-
D.
Kawasaki
Kawasaki is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along the Tama River.
-
E.
Moriguchi
Moriguchi is a city in Japan’s Kansai region that forms part of the Osaka metropolitan area and serves as a residential and commercial hub.
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ace714ec81909b0b1deaeac66be5 |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c01f00f48190b954db4a0cb5baa8 |
completed | March 4, 2026, 5:16 a.m. |
| NEDg | Description generation | batch_69a7c088506c81908a9e8ac91cb5b69d |
completed | March 4, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c10c8c2881908a739fe824b48782 |
completed | March 4, 2026, 5:20 a.m. |
Created at: March 1, 2026, 7:39 p.m.