Triple

T851024
Position Surface form Disambiguated ID Type / Status
Subject Arlington, Massachusetts E18384 entity
Predicate hasLibrary P35 FINISHED
Object Robbins Library E86610 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: Robbins Library | Statement: [Arlington, Massachusetts, hasLibrary, Robbins Library]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robbins Library
Context triple: [Arlington, Massachusetts, hasLibrary, Robbins Library]
  • A. Robbins Library chosen
    Robbins Library is a historic public library and cultural landmark serving the community of Arlington, Massachusetts.
  • B. Robinson Library
    Robinson Library is a major academic library at Newcastle University, providing extensive scholarly resources and study facilities for students and researchers.
  • C. Stauffer Library
    Stauffer Library is the main research and academic library at Queen's University in Kingston, Ontario, serving as a central hub for student study, resources, and scholarly work.
  • D. Lamont Library
    Lamont Library is an undergraduate-focused library at Harvard University known for its extensive collections, study spaces, and late-night access.
  • E. Rotch Library
    Rotch Library is MIT’s primary library for architecture, planning, and art, housing specialized collections and resources that support research and education in these fields.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac22de288190913714d41e5a8e12 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac762e945c8190a4716a2115689b20 completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:38 p.m.