Triple

T15304922
Position Surface form Disambiguated ID Type / Status
Subject Stanford Electrical Engineering Department E365874 entity
Predicate affiliation P10 FINISHED
Object School of Engineering at Stanford University E313785 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: School of Engineering at Stanford University | Statement: [Stanford Electrical Engineering Department, affiliation, School of Engineering at Stanford University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Engineering at Stanford University
Context triple: [Stanford Electrical Engineering Department, affiliation, School of Engineering at Stanford University]
  • A. School of Engineering at Stanford University chosen
    The School of Engineering at Stanford University is a leading engineering institution renowned for its cutting-edge research, innovation, and close ties to Silicon Valley.
  • B. School of Humanities and Sciences, Stanford University
    The School of Humanities and Sciences at Stanford University is the university’s largest academic division, encompassing a wide range of disciplines in the arts, humanities, social sciences, and natural sciences.
  • C. Department of Management Science and Engineering at Stanford University
    The Department of Management Science and Engineering at Stanford University is an interdisciplinary academic department that integrates engineering, business, and policy to study and improve complex systems in areas such as operations, decision analysis, information technology, and organizational strategy.
  • D. Department of Materials Science and Engineering at Stanford University
    The Department of Materials Science and Engineering at Stanford University is a leading academic and research unit focused on understanding and engineering materials for applications spanning electronics, energy, medicine, and advanced manufacturing.
  • E. Department of Civil and Environmental Engineering at Stanford University
    The Department of Civil and Environmental Engineering at Stanford University is a leading academic and research unit focused on advancing sustainable infrastructure, environmental protection, and resilient built environments.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccef14c819099c5ebe962e7f867 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef89d961481909be8dcc2864982c9 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.