Triple

T30048646
Position Surface form Disambiguated ID Type / Status
Subject Kpone E763529 entity
Predicate industrialGrowthStatus P57588 FINISHED
Object growing industrial hub 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: growing industrial hub | Statement: [Kpone, industrialGrowthStatus, growing industrial hub]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: industrialGrowthStatus
Context triple: [Kpone, industrialGrowthStatus, growing industrial hub]
  • A. peakIndustrialDevelopment
    Indicates the point in time or stage at which an entity reaches its highest level of industrial growth, capacity, or activity.
  • B. hasIndustrialDevelopment chosen
    Indicates that an entity possesses, supports, or is characterized by industrial growth, infrastructure, or manufacturing-related development.
  • C. hasIndustrialSector
    Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
  • D. industryStatus
    Indicates the current operational or regulatory condition of an entity within its industry (e.g., active, inactive, regulated, or restricted status).
  • E. industrializedBy
    Indicates that an entity has undergone industrial development or transformation as a result of actions carried out by another specified agent or process.
  • 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_69f22470a89c8190be7273297c0e0d19 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67d3624248190a36a9b2d2e9778d4 completed May 2, 2026, 10:39 p.m.
PD Predicate disambiguation batch_69f678ce54b081908c26edfd49e39c60 completed May 2, 2026, 10:21 p.m.
Created at: April 29, 2026, 6:54 p.m.