Triple

T37881271
Position Surface form Disambiguated ID Type / Status
Subject Second Five-Year Plan of the People's Republic of China E944870 entity
Predicate economicSectorFocus P143750 FINISHED
Object steel 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: steel industry | Statement: [Second Five-Year Plan of the People's Republic of China, economicSectorFocus, steel industry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: economicSectorFocus
Context triple: [Second Five-Year Plan of the People's Republic of China, economicSectorFocus, steel industry]
  • A. economicSectors chosen
    Indicates a relationship that associates entities with the economic sectors or industries in which they operate or to which they belong.
  • B. economicSectorDominant
    Indicates that one economic sector holds a leading or controlling position relative to others in terms of influence, output, or importance.
  • C. economicSectorSourceOfWealth
    Indicates that a particular economic sector is the primary source from which an entity derives its wealth or income.
  • D. economicSectorIssue
    Indicates that there is a problem, challenge, or concern affecting a particular economic sector.
  • E. economicSpeciality
    Indicates a relationship where an entity is characterized by, or primarily engaged in, a particular economic field, sector, or type of economic activity.
  • 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_69f76ef02668819089e7940c4001af5e completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc4748843c8190931432653be4890c completed May 7, 2026, 8:03 a.m.
PD Predicate disambiguation batch_69fc45646ce481908caf292ff9f06e15 completed May 7, 2026, 7:55 a.m.
Created at: May 3, 2026, 4:19 p.m.