Triple

T24849126
Position Surface form Disambiguated ID Type / Status
Subject CAS E621835 entity
Predicate hasAcademicScope P160075 FINISHED
Object interdisciplinary 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: interdisciplinary | Statement: [CAS, hasAcademicScope, interdisciplinary]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAcademicScope
Context triple: [CAS, hasAcademicScope, interdisciplinary]
  • A. hasAcademicComponent
    Indicates that something includes, involves, or is associated with an academic or educational element as part of its structure or content.
  • B. hasAcademicCharacter
    Indicates that something possesses qualities, standards, or attributes associated with academic or scholarly work.
  • C. hasAcademicFunction
    Indicates that an entity serves a specific academic role, duty, or function within an educational or scholarly context.
  • D. hasAcademicCommunity
    Indicates that an entity is associated with, belongs to, or participates in a particular academic community or scholarly group.
  • E. hasAcademicDescription
    Indicates that an entity is associated with a formal academic description or explanation, typically detailing its scholarly characteristics, context, or significance.
  • F. None of above. chosen

Provenance (4 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_69e2fac297e481909d3aedc75f585e42 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f6018f91248190985323d1a678e539 completed May 2, 2026, 1:52 p.m.
PD Predicate disambiguation batch_69f5f7f99dc08190afcfb3bc4dfbec1d completed May 2, 2026, 1:11 p.m.
PDg Predicate description generation batch_69f5ffc6268c8190b63f6360ebadab73 completed May 2, 2026, 1:44 p.m.
Created at: April 18, 2026, 5:20 a.m.