Triple

T20595968
Position Surface form Disambiguated ID Type / Status
Subject Princess Ayako of Takamado E506049 entity
Predicate educatedAt P5 FINISHED
Object Josai International University
Josai International University is a private Japanese university in Chiba Prefecture known for its international focus and programs in fields such as management, humanities, and tourism.
E1655116 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: Josai International University | Statement: [Princess Ayako of Takamado, educatedAt, Josai International University]
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: Josai International University
Triple: [Princess Ayako of Takamado, educatedAt, Josai International University]
Generated description
Josai International University is a private Japanese university in Chiba Prefecture known for its international focus and programs in fields such as management, humanities, and tourism.

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_69e0b4ba6ae88190af871e1f9522c704 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa1bea1c81908b85f38b2a471285 completed April 20, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1032ccb9e88190827d052906d8429a completed May 22, 2026, 10:41 a.m.
NEDg Description generation batch_6a1033999eb8819093313456a2a6fb1b completed May 22, 2026, 10:44 a.m.
NED2 Entity disambiguation (via description) batch_6a10344ac26c81908a031f43caf710b5 completed May 22, 2026, 10:47 a.m.
Created at: April 16, 2026, 11:40 a.m.