Triple
T1240656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabinet Legislation Bureau of Japan |
E26650
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
CLB
CLB is the abbreviated name for Japan’s Cabinet Legislation Bureau, the government body that reviews and drafts legislation and advises the Cabinet on legal matters.
|
E142276
|
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: CLB | Statement: [Cabinet Legislation Bureau of Japan, shortName, CLB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CLB Context triple: [Cabinet Legislation Bureau of Japan, shortName, CLB]
-
A.
CL 9
CL 9 is a technology company co-founded by Apple co-founder Steve Wozniak, focused on cloud computing and data center services.
-
B.
CLU
CLU is an early high-level programming language from the 1970s that pioneered data abstraction, iterators, and exception handling, significantly influencing the design of later languages.
-
C.
Club C
Club C is a classic Reebok sneaker line known for its clean, minimalist tennis-inspired design and everyday casual wear appeal.
-
D.
CUB
CUB is the three-letter ISO 3166-1 alpha-3 country code assigned to Cuba for international standardization and identification purposes.
-
E.
CUB
CUB is the ICAO airline designator assigned to Cubana de Aviación, the national flag carrier of Cuba.
- 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: CLB Triple: [Cabinet Legislation Bureau of Japan, shortName, CLB]
Generated description
CLB is the abbreviated name for Japan’s Cabinet Legislation Bureau, the government body that reviews and drafts legislation and advises the Cabinet on legal matters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CLB Target entity description: CLB is the abbreviated name for Japan’s Cabinet Legislation Bureau, the government body that reviews and drafts legislation and advises the Cabinet on legal matters.
-
A.
CL 9
CL 9 is a technology company co-founded by Apple co-founder Steve Wozniak, focused on cloud computing and data center services.
-
B.
CLU
CLU is an early high-level programming language from the 1970s that pioneered data abstraction, iterators, and exception handling, significantly influencing the design of later languages.
-
C.
Club C
Club C is a classic Reebok sneaker line known for its clean, minimalist tennis-inspired design and everyday casual wear appeal.
-
D.
CUB
CUB is the three-letter ISO 3166-1 alpha-3 country code assigned to Cuba for international standardization and identification purposes.
-
E.
CUB
CUB is the ICAO airline designator assigned to Cubana de Aviación, the national flag carrier of Cuba.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf4343e48190a232abd8475880a0 |
completed | March 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f79afe08190802dd615f01e303d |
completed | March 7, 2026, 8:50 p.m. |
| NEDg | Description generation | batch_69ac90277d2481908d358bf3f8fdbdca |
completed | March 7, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9080f4748190a2313bede48d3404 |
completed | March 7, 2026, 8:54 p.m. |
Created at: March 1, 2026, 7:47 p.m.