Triple

T3767355
Position Surface form Disambiguated ID Type / Status
Subject Alaska was economically worthless E82710 entity
Predicate relatedToDebate P50993 FINISHED
Object cost-benefit of Alaska Purchase 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: cost-benefit of Alaska Purchase | Statement: [Alaska was economically worthless, relatedToDebate, cost-benefit of Alaska Purchase]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relatedToDebate
Context triple: [Alaska was economically worthless, relatedToDebate, cost-benefit of Alaska Purchase]
  • A. partOfDebate
    Indicates that one entity is a component, segment, or participant within a larger debate or argumentative exchange.
  • B. enteredPoliticalDebateIn
    Indicates that an entity took part in a political debate that occurred in a specified place or context.
  • C. hasLongTermDebateOn
    Indicates that there is an ongoing, extended period of discussion, disagreement, or argument concerning a particular topic or issue.
  • D. inAcademicDebate
    Indicates that one entity is engaged in a formal, scholarly argument or discussion with another entity, typically following academic norms and methods of reasoning.
  • E. languageOfDebate
    Indicates that a specified language is the one used for conducting a particular debate.
  • F. None of above. chosen

Provenance (4 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc2bdf6c819088d3c6ace83ca5ea completed March 8, 2026, 7:21 p.m.
PD Predicate disambiguation batch_69adc04ec36c8190bd5b944d4f4d32aa completed March 8, 2026, 6:30 p.m.
PDg Predicate description generation batch_69adc133ef50819094c2b971f31f1615 completed March 8, 2026, 6:34 p.m.
Created at: March 8, 2026, 3:35 p.m.