Triple

T15208106
Position Surface form Disambiguated ID Type / Status
Subject First Kamchatka Expedition E363441 entity
Predicate disciplineInvolved P592 FINISHED
Object cartography 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: cartography | Statement: [First Kamchatka Expedition, disciplineInvolved, cartography]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: disciplineInvolved
Context triple: [First Kamchatka Expedition, disciplineInvolved, cartography]
  • A. associatedWithDiscipline chosen
    Indicates that an entity has a relevant connection or involvement with a particular academic, professional, or thematic discipline.
  • B. governingDiscipline
    Indicates that one discipline or field provides the primary rules, principles, or framework that regulate or guide another activity, domain, or practice.
  • C. supportsDiscipline
    Indicates that one entity provides assistance, resources, or endorsement that helps sustain or advance a particular discipline.
  • D. studiedByDiscipline
    Indicates that a subject (such as a phenomenon, object, or concept) is examined, analyzed, or researched within a particular academic or professional discipline.
  • E. featuredDiscipline
    Indicates that one discipline is highlighted or given special prominence in relation to another entity or context.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b8e2788190bd1831762e4181ae completed April 15, 2026, 9:44 p.m.
PD Predicate disambiguation batch_69deb97ee9d881908711dbe12a55283c completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:11 a.m.