Triple

T19986330
Position Surface form Disambiguated ID Type / Status
Subject Tomlinson Library E493940 entity
Predicate name P16 FINISHED
Object Tomlinson 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: Tomlinson Library | Statement: [Tomlinson Library, name, Tomlinson Library]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tomlinson Library
Context triple: [Tomlinson Library, name, Tomlinson Library]
  • A. Tomlinson Library chosen
    Tomlinson Library is the main academic library serving students and faculty at Colorado Mesa University in Grand Junction, Colorado.
  • 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. McLaughlin Library
    McLaughlin Library is the main academic library at the University of Guelph, providing research resources, study spaces, and services to students, faculty, and staff.
  • D. Carmichael Library
    Carmichael Library is a public library serving the community of Carmichael, California as part of the local public library system.
  • E. Lamont Library
    Lamont Library is an undergraduate-focused library at Harvard University known for its extensive collections, study spaces, and late-night access.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d16f60c81909ba02c0a3429ecae completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:29 p.m.