Triple

T28807400
Position Surface form Disambiguated ID Type / Status
Subject College of Arts and Letters, University of Notre Dame E727416 entity
Predicate hasDepartment P35 FINISHED
Object Department of Political Science, University of Notre Dame
The Department of Political Science at the University of Notre Dame is a leading academic unit known for its research and teaching in areas such as American politics, comparative politics, international relations, political theory, and constitutional studies.
E1833867 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 Political Science, University of Notre Dame | Statement: [College of Arts and Letters, University of Notre Dame, hasDepartment, Department of Political Science, University of Notre Dame]
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 Political Science, University of Notre Dame
Triple: [College of Arts and Letters, University of Notre Dame, hasDepartment, Department of Political Science, University of Notre Dame]
Generated description
The Department of Political Science at the University of Notre Dame is a leading academic unit known for its research and teaching in areas such as American politics, comparative politics, international relations, political theory, and constitutional studies.

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_69f0319c38948190bca746ad60fd25ba completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f658af9cd8819099951b89f7b7bcc2 completed May 2, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24a27e0b608190b0f731eec8854d93 completed June 6, 2026, 10:43 p.m.
NEDg Description generation batch_6a24a667d6d08190917858826b13e134 completed June 6, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_6a24aaa014a081908831ccb241673fae completed June 6, 2026, 11:17 p.m.
Created at: April 28, 2026, 6:29 a.m.