Triple

T38692500
Position Surface form Disambiguated ID Type / Status
Subject Torch Lake (Houghton County, Michigan) E949306 entity
Predicate industrialHistoryPeriod P149688 FINISHED
Object late 19th century 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: late 19th century | Statement: [Torch Lake (Houghton County, Michigan), industrialHistoryPeriod, late 19th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: industrialHistoryPeriod
Context triple: [Torch Lake (Houghton County, Michigan), industrialHistoryPeriod, late 19th century]
  • A. historicalPeriodOfIndustrialUse chosen
    Indicates the historical time span during which an entity was used for industrial purposes.
  • B. timePeriodOfIndustrialization
    Indicates the time period during which a given entity underwent industrialization.
  • C. eraOfIndustrialDevelopment
    Indicates the historical period during which an entity experienced industrial growth, modernization, or significant development in its industrial sector.
  • D. historicalPeakIndustrialPeriod
    Indicates the time period during which an entity reached its highest level of industrial activity or development.
  • E. modernIndustry
    Indicates that an entity operates within or is characteristic of contemporary, technologically advanced industrial practices and sectors.
  • 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_69f76efe16148190befd5dd59c3dfeaa completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fcea52dc6c81909ff3106790f3f346 completed May 7, 2026, 7:38 p.m.
PD Predicate disambiguation batch_69fce5b66de88190a2bd19665a699a3d completed May 7, 2026, 7:19 p.m.
Created at: May 3, 2026, 4:33 p.m.