Triple

T27411990
Position Surface form Disambiguated ID Type / Status
Subject Ibaraki Prefecture E692176 entity
Predicate hasResearchInstitution P186 FINISHED
Object Tsukuba University of Technology
Tsukuba University of Technology is a Japanese national university in Ibaraki Prefecture that specializes in higher education and research for students with visual and hearing impairments.
E1785426 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: Tsukuba University of Technology | Statement: [Ibaraki Prefecture, hasResearchInstitution, Tsukuba University of Technology]
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: Tsukuba University of Technology
Triple: [Ibaraki Prefecture, hasResearchInstitution, Tsukuba University of Technology]
Generated description
Tsukuba University of Technology is a Japanese national university in Ibaraki Prefecture that specializes in higher education and research for students with visual and hearing impairments.

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_69ef5205fc808190ad3efc5525b8e6d6 completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62cdb62608190a8e1c84a631de5ce completed May 2, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12e437569481909a788346a629c487 completed May 24, 2026, 11:42 a.m.
NEDg Description generation batch_6a12e4fbf9cc8190b5bbff117668f81a completed May 24, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_6a12e5e1eafc8190912e291b91690548 completed May 24, 2026, 11:49 a.m.
Created at: April 27, 2026, 12:32 p.m.