Triple

T27455040
Position Surface form Disambiguated ID Type / Status
Subject Kanto Gakuin University E692564 entity
Predicate hasDepartment P35 FINISHED
Object Department of Civil Engineering
The Department of Civil Engineering is an academic unit specializing in the study and research of infrastructure design, construction, and maintenance, including structures, transportation systems, water resources, and geotechnical engineering.
E604270 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: Department of Civil Engineering | Statement: [Kanto Gakuin University, hasDepartment, Department of Civil Engineering]
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: Department of Civil Engineering
Triple: [Kanto Gakuin University, hasDepartment, Department of Civil Engineering]
Generated description
The Department of Civil Engineering is an academic unit specializing in the study and research of infrastructure design, construction, and maintenance, including structures, transportation systems, water resources, and geotechnical engineering.

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_69f62dc89bfc81909987840a660f709f completed May 2, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b260e6f481909076075270653c1c completed May 24, 2026, 8:10 a.m.
NEDg Description generation batch_6a12b32353248190ac509d73a9910602 completed May 24, 2026, 8:13 a.m.
NED2 Entity disambiguation (via description) batch_6a12b3c695a0819099113dba54710362 completed May 24, 2026, 8:16 a.m.
Created at: April 27, 2026, 12:48 p.m.