Triple

T21494974
Position Surface form Disambiguated ID Type / Status
Subject Yoldia stage E530327 entity
Predicate follows P134 FINISHED
Object Baltic Ice Lake 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: Baltic Ice Lake | Statement: [Yoldia stage, follows, Baltic Ice Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baltic Ice Lake
Context triple: [Yoldia stage, follows, Baltic Ice Lake]
  • A. Baltic Ice Lake chosen
    The Baltic Ice Lake was a large proglacial lake that existed at the end of the last Ice Age in the area now occupied by the northern Baltic Sea.
  • B. Weißer See
    Weißer See is a small urban lake and popular recreational spot located in Berlin's Weißensee district.
  • C. Lake Ladoga
    Lake Ladoga is a vast freshwater lake in northwestern Russia, renowned as the largest lake in Europe and an important ecological and historical region.
  • D. Svityaz Lake
    Svityaz Lake is the deepest and one of the largest natural lakes in Ukraine, renowned for its clear waters and location within the Shatsk National Nature Park.
  • E. Lake Onega
    Lake Onega is one of Europe's largest freshwater lakes, located in northwestern Russia and known for its numerous islands, historic monasteries, and significant ecological and economic importance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea575f2c81909cc0607c4b529f8d completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:23 p.m.