Triple

T4850576
Position Surface form Disambiguated ID Type / Status
Subject Cambridge Crystallographic Data Centre E108403 entity
Predicate dataScope P42519 FINISHED
Object three-dimensional crystal structures 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: three-dimensional crystal structures | Statement: [Cambridge Crystallographic Data Centre, dataScope, three-dimensional crystal structures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dataScope
Context triple: [Cambridge Crystallographic Data Centre, dataScope, three-dimensional crystal structures]
  • A. organizationalScope
    Indicates the range or extent of responsibility, authority, or applicability that an action, policy, or relationship has within an organization or its sub-units.
  • B. accessScope chosen
    Indicates the extent or boundaries of access that one entity has to another entity or resource.
  • C. scopeType
    Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
  • D. operationalScope
    Indicates the range, extent, or boundaries within which an entity, process, or activity is authorized or designed to operate.
  • E. identificationScope
    Indicates the contextual boundary or extent within which an entity is uniquely identified or recognized.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ddd17d881909f7731ff2b460e83 completed March 20, 2026, 3:55 p.m.
PD Predicate disambiguation batch_69bd6c2557388190a2d15571bacd24f3 completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:25 p.m.