Triple

T32388139
Position Surface form Disambiguated ID Type / Status
Subject 赤門 E827592 entity
Predicate constructedFor P7551 FINISHED
Object 加賀藩前田家江戸上屋敷
加賀藩前田家江戸上屋敷は、江戸時代に加賀藩前田家が江戸に構えた広大で格式の高い大名屋敷で、現在の東京大学本郷キャンパス一帯にあたる場所に存在した。
E2004457 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: 加賀藩前田家江戸上屋敷 | Statement: [赤門, constructedFor, 加賀藩前田家江戸上屋敷]
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: 加賀藩前田家江戸上屋敷
Triple: [赤門, constructedFor, 加賀藩前田家江戸上屋敷]
Generated description
加賀藩前田家江戸上屋敷は、江戸時代に加賀藩前田家が江戸に構えた広大で格式の高い大名屋敷で、現在の東京大学本郷キャンパス一帯にあたる場所に存在した。

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_69f349184e7481909c6c54428cb9cf12 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c1d3dea88190985d0faef0c85551 completed May 3, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a33e8beb13c81908b79503df5e55880 completed June 18, 2026, 12:46 p.m.
NEDg Description generation batch_6a33e9a331f481909e9f4352d2d52db6 completed June 18, 2026, 12:50 p.m.
NED2 Entity disambiguation (via description) batch_6a3440b2dae081909c86cb74dd48ff1c completed June 18, 2026, 7:02 p.m.
Created at: May 1, 2026, 12:51 a.m.