Triple

T684451
Position Surface form Disambiguated ID Type / Status
Subject Juan de Fuca E13253 entity
Predicate explorationGoal P6636 FINISHED
Object search for a passage to the Atlantic (Northwest Passage) 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: search for a passage to the Atlantic (Northwest Passage) | Statement: [Juan de Fuca, explorationGoal, search for a passage to the Atlantic (Northwest Passage)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: explorationGoal
Context triple: [Juan de Fuca, explorationGoal, search for a passage to the Atlantic (Northwest Passage)]
  • A. explores
    Indicates actively investigating, traveling through, or examining something in order to discover or learn more about it.
  • B. scienceGoals
    Indicates the objectives or intended outcomes that guide and justify a scientific activity, project, or investigation.
  • C. explored
    Indicates that an entity has traveled through, examined, or investigated another entity or area, typically to discover or learn more about it.
  • D. strategicGoal
    Indicates that one entity represents a long-term objective or desired outcome that another entity is intentionally aiming to achieve or align actions toward.
  • E. goals chosen
    Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0725c708190aa6edfee742ca4e6 completed March 1, 2026, 8:24 p.m.
PD Predicate disambiguation batch_69a49d1f0ccc819088c1527beabcb718 completed March 1, 2026, 8:10 p.m.
Created at: March 1, 2026, 7:36 p.m.