Triple

T21196423
Position Surface form Disambiguated ID Type / Status
Subject East Liverpool, Ohio E522337 entity
Predicate hasHistoricEconomySector P10778 FINISHED
Object manufacturing 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: manufacturing | Statement: [East Liverpool, Ohio, hasHistoricEconomySector, manufacturing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricEconomySector
Context triple: [East Liverpool, Ohio, hasHistoricEconomySector, manufacturing]
  • A. hasHistoricIndustry
    Indicates that an entity has been associated with a notable or historically significant industry or industrial activity in the past.
  • B. associatedWithEconomicSector
    Indicates that an entity has a connection or involvement with a particular economic sector, such as operating, participating, or being relevant within that sector.
  • C. historicalEconomicBase chosen
    Indicates the primary type of economic activity or production that historically underpinned or sustained an entity’s economy.
  • D. hasIndustrialSector
    Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
  • E. hasEconomicOrganization
    Indicates that an entity possesses, is associated with, or participates in a specific economic organization or institutional economic structure.
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7333bd7a0819084bbd1d6c111bc65 completed April 21, 2026, 8:20 a.m.
PD Predicate disambiguation batch_69e5f6094e3c81909ee9699e00d371f7 completed April 20, 2026, 9:46 a.m.
Created at: April 16, 2026, 3:08 p.m.