Triple

T30786072
Position Surface form Disambiguated ID Type / Status
Subject 和歌山県立近代美術館 E783957 entity
Predicate 関連施設 P81092 FINISHED
Object 和歌山県立博物館
和歌山県立博物館は、和歌山県の歴史・文化・考古・民俗資料などを収集・展示し、地域の文化遺産を紹介する県立の総合博物館です。
E1934084 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: 和歌山県立博物館 | Statement: [和歌山県立近代美術館, 関連施設, 和歌山県立博物館]
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: 和歌山県立博物館
Triple: [和歌山県立近代美術館, 関連施設, 和歌山県立博物館]
Generated description
和歌山県立博物館は、和歌山県の歴史・文化・考古・民俗資料などを収集・展示し、地域の文化遺産を紹介する県立の総合博物館です。

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_69f224b213c8819083886073f90b647e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f690097c9c81909858e7d8c15474da completed May 3, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_6a28bbd7ecec8190a0e23d9e10aa308d completed June 10, 2026, 1:20 a.m.
NEDg Description generation batch_6a28bed0d2b081908ce9b83837a52b07 completed June 10, 2026, 1:33 a.m.
NED2 Entity disambiguation (via description) batch_6a28bf6bf59081908328d74d9623314e completed June 10, 2026, 1:35 a.m.
Created at: April 29, 2026, 8:41 p.m.