Triple

T5560621
Position Surface form Disambiguated ID Type / Status
Subject Rare Books and Special Collections (McGill University) E145755 entity
Predicate materialCharacteristic P49968 FINISHED
Object rare LITERAL 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: rare | Statement: [Rare Books and Special Collections (McGill University), materialCharacteristic, rare]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: materialCharacteristic
Context triple: [Rare Books and Special Collections (McGill University), materialCharacteristic, rare]
  • A. material
    Indicates that one entity is physically composed of, made from, or constructed using the substance or material represented by the other entity.
  • B. materialDescribedAs chosen
    Indicates that a material is characterized or specified using a particular descriptive term, label, or textual description.
  • C. materialUsed
    Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
  • D. materialDepicted
    Indicates that a work or representation visually portrays or includes a particular material as part of its subject.
  • E. constructionCharacteristic
    Indicates a specific structural or material property that characterizes how something is built or constructed.
  • F. None of above.

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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0201857848190a5443b51bcdb63fa completed March 22, 2026, 5 p.m.
PD Predicate disambiguation batch_69c01b10bbf8819098655839c03b7832 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:36 p.m.