Triple
T1195555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Attorney Act of Japan |
E25659
|
entity |
| Predicate | appliesTo |
P1129
|
FINISHED |
| Object |
bengoshi
Bengoshi are licensed legal professionals in Japan who represent clients in court, provide legal advice, and handle a wide range of legal matters.
|
E137283
|
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: bengoshi | Statement: [Attorney Act of Japan, appliesTo, bengoshi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: bengoshi Context triple: [Attorney Act of Japan, appliesTo, bengoshi]
-
A.
BOG
BOG is the IATA airport code for El Dorado International Airport, the main international gateway serving Bogotá, Colombia.
-
B.
Abaporu
Abaporu is a famous 1928 painting by Brazilian artist Tarsila do Amaral that became an icon of Brazilian modernism and inspired the Anthropophagic Movement in Brazilian art and literature.
-
C.
BEG
BEG is the IATA airport code for Belgrade Nikola Tesla Airport, the main international airport serving Serbia’s capital city.
-
D.
BANZSL
BANZSL is the family of closely related sign languages used in Britain, Australia, and New Zealand, sharing a common historical origin and many linguistic features.
-
E.
Bun
Bun is a modern, high-performance JavaScript runtime and toolkit designed as an alternative to Node.js and Deno, featuring a built-in bundler, test runner, and package manager.
- 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: bengoshi Triple: [Attorney Act of Japan, appliesTo, bengoshi]
Generated description
Bengoshi are licensed legal professionals in Japan who represent clients in court, provide legal advice, and handle a wide range of legal matters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: bengoshi Target entity description: Bengoshi are licensed legal professionals in Japan who represent clients in court, provide legal advice, and handle a wide range of legal matters.
-
A.
BOG
BOG is the IATA airport code for El Dorado International Airport, the main international gateway serving Bogotá, Colombia.
-
B.
Abaporu
Abaporu is a famous 1928 painting by Brazilian artist Tarsila do Amaral that became an icon of Brazilian modernism and inspired the Anthropophagic Movement in Brazilian art and literature.
-
C.
BEG
BEG is the IATA airport code for Belgrade Nikola Tesla Airport, the main international airport serving Serbia’s capital city.
-
D.
BANZSL
BANZSL is the family of closely related sign languages used in Britain, Australia, and New Zealand, sharing a common historical origin and many linguistic features.
-
E.
Bun
Bun is a modern, high-performance JavaScript runtime and toolkit designed as an alternative to Node.js and Deno, featuring a built-in bundler, test runner, and package manager.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd7a756c819085d695acfffeaceb |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7650de3c8190b2c246436a3d25b1 |
completed | March 7, 2026, 7:02 p.m. |
| NEDg | Description generation | batch_69ac76e2df308190807cc6b7d7555e69 |
completed | March 7, 2026, 7:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac77585c708190b5f4b239d9574cd7 |
completed | March 7, 2026, 7:07 p.m. |
Created at: March 1, 2026, 7:46 p.m.