Triple

T4260679
Position Surface form Disambiguated ID Type / Status
Subject David Rumsey Map Center E96095 entity
Predicate partOf P40 FINISHED
Object Green Library E121222 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: [David Rumsey Map Center, partOf, Green Library]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Library
Context triple: [David Rumsey Map Center, partOf, 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
    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. Reid Library
    Reid Library is the main academic library and a central study and research hub at the University of Western Australia.
  • E. Cecil H. Green Library chosen
    Cecil H. Green Library is the main research library at Stanford University, housing extensive collections across the humanities and social sciences.
  • 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_69b3454095ac81909c2494f7ff294af1 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34f8103b48190934a810faafa6cb7 completed March 12, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b78c93c48190a4274f0de3fc2d25 completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:06 p.m.