Triple

T11050681
Position Surface form Disambiguated ID Type / Status
Subject Monmouth, Oregon E261236 entity
Predicate primaryEconomySector P16022 FINISHED
Object education 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: education | Statement: [Monmouth, Oregon, primaryEconomySector, education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryEconomySector
Context triple: [Monmouth, Oregon, primaryEconomySector, education]
  • A. economicSectorDominant
    Indicates that one economic sector holds a leading or controlling position relative to others in terms of influence, output, or importance.
  • B. economicSectorSourceOfWealth chosen
    Indicates that a particular economic sector is the primary source from which an entity derives its wealth or income.
  • C. primarySectorCoverage
    Indicates that one entity serves as the main or dominant sector in which another entity operates, focuses, or provides coverage.
  • D. hasTertiaryEconomicSector
    Indicates that an entity participates in or possesses activities belonging to the tertiary (service) sector of the economy, such as services rather than primary or secondary production.
  • E. primaryTrade
    Indicates that the referenced activity or exchange is the main or most significant trade relationship associated with the entities involved.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798698bd88190aa97afd37f55e19f completed April 9, 2026, 12:15 p.m.
PD Predicate disambiguation batch_69d7440da46c8190a77380d5d747ac9c completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:26 p.m.