Triple

T33542450
Position Surface form Disambiguated ID Type / Status
Subject Chengdian E859107 entity
Predicate hasKeyDisciplineStatus P187406 FINISHED
Object national key disciplines in electronic information 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: national key disciplines in electronic information | Statement: [Chengdian, hasKeyDisciplineStatus, national key disciplines in electronic information]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasKeyDisciplineStatus
Context triple: [Chengdian, hasKeyDisciplineStatus, national key disciplines in electronic information]
  • A. hasDisciplineRole
    Indicates that an entity holds a specific role or function within a particular discipline or field.
  • B. hasDisciplineIntegration
    Indicates that one entity incorporates, connects, or coordinates multiple disciplines or fields within another entity or context.
  • C. hasDisplayDiscipline
    Indicates that an entity is associated with a particular academic or professional discipline in which its content is displayed or categorized.
  • D. hasPrimaryDisciplineStructure
    Indicates that an entity is associated with its main or principal organizational or structural form of discipline.
  • E. hasAwardedDiscipline
    Indicates that one entity has formally imposed or granted a disciplinary action or sanction upon another entity.
  • 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_69f3497a5be08190a39b12736899e034 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fb563aec448190875410fb1a3ed624 completed May 6, 2026, 2:54 p.m.
PD Predicate disambiguation batch_69fb35b9ede881908aaae93a215525df completed May 6, 2026, 12:36 p.m.
PDg Predicate description generation batch_69fb563a28d88190b28345c465c545f8 completed May 6, 2026, 2:54 p.m.
Created at: May 1, 2026, 1:39 a.m.