Triple

T17404285
Position Surface form Disambiguated ID Type / Status
Subject Musselman Library E423172 entity
Predicate name P16 FINISHED
Object Musselman Library NE NERFINISHED

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: Musselman Library | Statement: [Musselman Library, name, Musselman Library]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Musselman Library
Context triple: [Musselman Library, name, Musselman Library]
  • A. Musselman Library chosen
    Musselman Library is the main academic library of Gettysburg College, providing research resources, study spaces, and archival collections for the campus community.
  • B. Mears Library
    Mears Library is the main academic library serving the students and faculty of the University of Sioux Falls in South Dakota.
  • C. Merrill-Cazier Library
    Merrill-Cazier Library is the main academic library at Utah State University, serving as a central hub for research, study, and information resources for students and faculty.
  • D. Mann Library
    Mann Library is a major research library at Cornell University specializing in agriculture, life sciences, and human ecology.
  • E. Tomlinson Library
    Tomlinson Library is the main academic library serving students and faculty at Colorado Mesa University in Grand Junction, Colorado.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b068248819088871d79f8a38f30 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:45 a.m.