Triple

T24090524
Position Surface form Disambiguated ID Type / Status
Subject 内閣法制局長官 E596774 entity
Predicate supervises P258 FINISHED
Object 内閣法制局
内閣法制局は、日本の内閣に属し、法令案や条約案の審査・立案支援などを通じて政府の立法活動を法的観点から統一的に調整・チェックする機関である。
E1621116 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: 内閣法制局 | Statement: [内閣法制局長官, supervises, 内閣法制局]
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: 内閣法制局
Triple: [内閣法制局長官, supervises, 内閣法制局]
Generated description
内閣法制局は、日本の内閣に属し、法令案や条約案の審査・立案支援などを通じて政府の立法活動を法的観点から統一的に調整・チェックする機関である。

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_69e288c4638c81909bacc28a1e3d436b completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1dc2e672c8190b3e4be041835cc27 completed April 29, 2026, 10:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad1122088190a6d6119b9c5f0727 completed May 22, 2026, 1:10 a.m.
NEDg Description generation batch_6a0fae2d71448190b191a4877c698840 completed May 22, 2026, 1:15 a.m.
NED2 Entity disambiguation (via description) batch_6a0faf073c088190bbf21e4dd0434fc1 completed May 22, 2026, 1:19 a.m.
Created at: April 17, 2026, 10:52 p.m.