Triple

T18798931
Position Surface form Disambiguated ID Type / Status
Subject German Mountain Corps Norway E459712 entity
Predicate theater P1060 FINISHED
Object Arctic Front 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: Arctic Front | Statement: [German Mountain Corps Norway, theater, Arctic Front]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arctic Front
Context triple: [German Mountain Corps Norway, theater, Arctic Front]
  • A. Arctic front chosen
    The Arctic front was the northernmost sector of the Eastern Front in World War II, where German and Finnish forces conducted operations against the Soviet Union in the extreme conditions of the Arctic region.
  • B. Tasman Front
    The Tasman Front is a major oceanic boundary current that separates warm subtropical waters from cooler temperate waters in the Tasman Sea between Australia and New Zealand.
  • C. Buir
    Buir is a district or locality within the town of Kerpen in North Rhine-Westphalia, Germany.
  • D. Icelandic Low
    The Icelandic Low is a semi-permanent subpolar low-pressure system over the North Atlantic that strongly influences storm tracks and weather patterns across the North Atlantic and surrounding regions.
  • E. Blizne
    Blizne is a village in southeastern Poland best known for its historic wooden All Saints Church, a UNESCO World Heritage Site.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a0215084819086bce60f95d08409 completed April 20, 2026, 3:40 a.m.
Created at: April 10, 2026, 11:53 a.m.