Triple

T27462240
Position Surface form Disambiguated ID Type / Status
Subject Ikarashi Campus E692779 entity
Predicate category P87 FINISHED
Object Campus of Niigata University
The Campus of Niigata University is a multi-facility Japanese national university campus known for its comprehensive academic programs and research activities in Niigata Prefecture.
 E1775507 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: Campus of Niigata University | Statement: [Ikarashi Campus, category, Campus of Niigata 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: Campus of Niigata University
Triple: [Ikarashi Campus, category, Campus of Niigata University]
Generated description
The Campus of Niigata University is a multi-facility Japanese national university campus known for its comprehensive academic programs and research activities in Niigata Prefecture.

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_69ef5207903881909427745cda05d27a completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62dfa4f3881908a45c137df7fa0db completed May 2, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12bbdcabbc8190b26943ef425d7397 completed May 24, 2026, 8:50 a.m.
NEDg Description generation batch_6a12bcf8cd9c81909f9f001e8a1d4a81 completed May 24, 2026, 8:55 a.m.
NED2 Entity disambiguation (via description) batch_6a12bd75c610819081ae1b4f7fedb4cb completed May 24, 2026, 8:57 a.m.
Created at: April 27, 2026, 12:50 p.m.