Triple

T32388304
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Engineering buildings E827596 entity
Predicate category P87 FINISHED
Object Buildings and structures of the University of Tokyo
Buildings and structures of the University of Tokyo is a classification grouping that encompasses the various academic, administrative, and research facilities located across the university’s campuses.
E2004462 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: Buildings and structures of the University of Tokyo | Statement: [Faculty of Engineering buildings, category, Buildings and structures of the University of Tokyo]
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: Buildings and structures of the University of Tokyo
Triple: [Faculty of Engineering buildings, category, Buildings and structures of the University of Tokyo]
Generated description
Buildings and structures of the University of Tokyo is a classification grouping that encompasses the various academic, administrative, and research facilities located across the university’s campuses.

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.