Triple

T25454921
Position Surface form Disambiguated ID Type / Status
Subject 中城城跡 E637887 entity
Predicate associatedWithDynasty P7426 FINISHED
Object 尚巴志王統
尚巴志王統は、15世紀前半に琉球王国を統一し、その政治的・文化的基盤を築いた第一尚氏王朝である。
 E1681212 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: 尚巴志王統 | Statement: [中城城跡, associatedWithDynasty, 尚巴志王統]
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: 尚巴志王統
Triple: [中城城跡, associatedWithDynasty, 尚巴志王統]
Generated description
尚巴志王統は、15世紀前半に琉球王国を統一し、その政治的・文化的基盤を築いた第一尚氏王朝である。

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_69e75db7c5048190b8da9cd7eeedb610 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f725e4d08190b0304e45a417193b completed May 2, 2026, 1:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1089b09a9c8190b0fe8ce30c156c11 completed May 22, 2026, 4:52 p.m.
NEDg Description generation batch_6a108a88dd5c8190ac1f024420860c32 completed May 22, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_6a108b266a648190874a4e80f1df2bb8 completed May 22, 2026, 4:58 p.m.
Created at: April 21, 2026, 2:04 p.m.