Triple

T7225893
Position Surface form Disambiguated ID Type / Status
Subject Norwegian resistance movement E154776 entity
Predicate significantPlace P1098 FINISHED
Object Vemork E600607 NE 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: Vemork | Statement: [Norwegian resistance movement, significantPlace, Vemork]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vemork
Context triple: [Norwegian resistance movement, significantPlace, Vemork]
  • A. Vemork chosen
    Vemork is a former hydroelectric power plant in Norway best known as the site of World War II operations to disrupt Nazi Germany’s heavy water production for nuclear research.
  • B. Flemingsberg
    Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
  • C. Roslagen
    Roslagen is a coastal region in east-central Sweden known for its archipelago, traditional fishing villages, and proximity to Stockholm.
  • D. Donuzlav
    Donuzlav is a deep-water lagoon and naval harbor in western Crimea that serves as a strategic base for Russian Black Sea naval operations.
  • E. Snåsa
    Snåsa is a rural municipality in Trøndelag county, Norway, known for its large lakes, forests, and strong South Sámi cultural heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6e9dc835881909ea646c392a980b6 completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc17a3788190842a852fb4b96185 completed March 28, 2026, 12:39 p.m.
Created at: March 27, 2026, 2:54 p.m.