Triple

T10025725
Position Surface form Disambiguated ID Type / Status
Subject CAS Patents collection E200717 entity
Predicate accessedVia P1985 FINISHED
Object CAS STNext E746660 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: CAS STNext | Statement: [CAS Patents collection, accessedVia, CAS STNext]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CAS STNext
Context triple: [CAS Patents collection, accessedVia, CAS STNext]
  • A. CAS STNext chosen
    CAS STNext is a professional scientific and patent information search platform provided by CAS that offers advanced access to chemical, scientific, and technical databases.
  • B. CAS
    CAS is the commonly used abbreviation for the Chief of the Air Staff, the professional head of an air force in several countries.
  • C. CAS
    CAS is the College of Arts & Sciences at Boston University, the university’s largest academic division offering a wide range of undergraduate and graduate programs in the liberal arts and sciences.
  • D. CAS
    CAS is an international institution that settles sports-related disputes through arbitration and mediation, often referred to as the "supreme court" of sport.
  • E. CAS
    CAS is the Chinese Academy of Sciences, China’s national scientific research institution and leading academic organization in natural sciences and high technology.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcde2009081908eddda7813617df4 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26ac2f14081908deaf3945491af78 completed April 5, 2026, 1:59 p.m.
Created at: March 30, 2026, 8:53 p.m.