Triple

T33329983
Position Surface form Disambiguated ID Type / Status
Subject 藤村修 E853375 entity
Predicate 役職 P3459 FINISHED
Object 民主党選挙対策委員長
民主党選挙対策委員長は、日本の民主党において国政選挙や地方選挙の戦略立案・候補者調整・選挙運動の総括を担う中枢ポストである。
E2045881 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: 民主党選挙対策委員長 | Statement: [藤村修, 役職, 民主党選挙対策委員長]
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: 民主党選挙対策委員長
Triple: [藤村修, 役職, 民主党選挙対策委員長]
Generated description
民主党選挙対策委員長は、日本の民主党において国政選挙や地方選挙の戦略立案・候補者調整・選挙運動の総括を担う中枢ポストである。

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_69f34969614c81909cd99661b0902533 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6df47fa9c81908496c2ab723d2c33 completed May 3, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3543381f248190a989a238396d6d8b completed June 19, 2026, 1:25 p.m.
NEDg Description generation batch_6a3544dface08190a88af0bbb2673705 completed June 19, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_6a3545433f4c8190ab0e7c2ff6bf7660 completed June 19, 2026, 1:33 p.m.
Created at: May 1, 2026, 1:34 a.m.