Triple

T2411289
Position Surface form Disambiguated ID Type / Status
Subject Green Library E52194 entity
Predicate name P16 FINISHED
Object Green Library E118614 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: Green Library | Statement: [Green Library, name, Green Library]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Library
Context triple: [Green Library, name, Green Library]
  • A. Green Library
    Green Library is the main academic library at Florida International University, serving as a central hub for research, study, and information resources for the university community.
  • B. Green Library chosen
    Green Library is the main research library at Stanford University, housing extensive collections across the humanities and social sciences.
  • C. George Green Library
    George Green Library is a major academic library at the University of Nottingham, particularly known for supporting science and engineering disciplines with extensive study facilities and resources.
  • D. Cecil H. Green Library
    Cecil H. Green Library is the main research library at Stanford University, housing extensive collections across the humanities and social sciences.
  • E. Gould Library
    Gould Library is the main academic library at Carleton College, serving as a central hub for research, study, and access to scholarly resources for the campus community.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc928fd608190885fcde6746a06bc completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3f00cc481909c2841a6f2ebadad completed March 9, 2026, 11:50 a.m.
Created at: March 6, 2026, 9:41 p.m.