Triple

T23646331
Position Surface form Disambiguated ID Type / Status
Subject Evgenia Petrovna Shelepina E584043 entity
Predicate placeOfMeetingWithArthurRansome P153017 FINISHED
Object Russia NE NERFINISHED

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: Russia | Statement: [Evgenia Petrovna Shelepina, placeOfMeetingWithArthurRansome, Russia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: placeOfMeetingWithArthurRansome
Context triple: [Evgenia Petrovna Shelepina, placeOfMeetingWithArthurRansome, Russia]
  • A. placeOfFictionalActivity
    Indicates the location or setting where a fictional event, action, or storyline takes place.
  • B. Izaak Walton Inn
    Indicates that an entity is located at, associated with, or taking place at the Izaak Walton Inn.
  • C. placeOfFictionalEvent
    Indicates the location where a fictional event is depicted as occurring within a narrative or story.
  • D. positionOnLochLomond
    Indicates that one entity occupies or is located at a specific position on Loch Lomond.
  • E. locationOfTavern
    Indicates the relationship where a specified place serves as the location of a tavern.
  • 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_69e248fefafc81909656921192f30e80 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b28571bc8190b3f7275068d19320 completed April 29, 2026, 7:25 a.m.
PD Predicate disambiguation batch_69f118d7903c8190bb590a71771e93af completed April 28, 2026, 8:30 p.m.
PDg Predicate description generation batch_69f1233300bc8190ac1639bdca1d7d99 completed April 28, 2026, 9:14 p.m.
Created at: April 17, 2026, 6:48 p.m.