Triple

T11749967
Position Surface form Disambiguated ID Type / Status
Subject First Five-Year Plan of the People's Republic of China E279378 entity
Predicate sectorPriority P76324 FINISHED
Object heavy industry 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: heavy industry | Statement: [First Five-Year Plan of the People's Republic of China, sectorPriority, heavy industry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sectorPriority
Context triple: [First Five-Year Plan of the People's Republic of China, sectorPriority, heavy industry]
  • A. hasSectoralPriority chosen
    Indicates that something is designated as having priority or special importance within a particular sector or industry.
  • B. sectorStrength
    Indicates the relative performance or influence level of a specific sector compared to others within a broader system or market.
  • C. sectorPreparation
    Indicates that an entity is involved in getting a specific sector ready for operation, use, or transition through planning, setup, or related preparatory actions.
  • D. sectorServed
    Indicates the industry or economic sector that an entity primarily serves or targets with its activities, products, or services.
  • E. sectorBase
    Indicates that one entity serves as the primary base or foundational location for operations within a particular sector of another entity.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a508b0c4819082fbcc27d559ea2f completed April 10, 2026, 7:21 a.m.
PD Predicate disambiguation batch_69d88a813cc48190a3dfdc60e8af80ae completed April 10, 2026, 5:28 a.m.
Created at: April 8, 2026, 9:41 p.m.