Triple

T21719435
Position Surface form Disambiguated ID Type / Status
Subject Tonopah silver boom E536114 entity
Predicate governmentImpact P23763 FINISHED
Object increased local tax revenues 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: increased local tax revenues | Statement: [Tonopah silver boom, governmentImpact, increased local tax revenues]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentImpact
Context triple: [Tonopah silver boom, governmentImpact, increased local tax revenues]
  • A. governmentFunctionAffected chosen
    Indicates that a particular government function, role, or operation is impacted, altered, or disrupted by another entity or event.
  • B. socialImpact
    Indicates the extent to which an action, entity, or relationship affects society or communities, whether positively or negatively.
  • C. governmentImplication
    Indicates that a government is involved in, responsible for, or has a significant influence on the referenced action, event, or situation.
  • D. governmentInvolvement
    Indicates that a government participates in, influences, regulates, or otherwise plays a role in the specified activity, process, or entity.
  • E. nationalImpact
    Indicates that something has a significant effect or influence at the level of an entire nation.
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96de818819084c268d4775a8e3a completed April 27, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69e6969725bc81908e7ad19619ba2688 completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:47 p.m.