Triple

T9526110
Position Surface form Disambiguated ID Type / Status
Subject bouncing bomb E229763 entity
Predicate notableTarget P14230 FINISHED
Object Sorpe Dam E45716 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: Sorpe Dam | Statement: [bouncing bomb, notableTarget, Sorpe Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sorpe Dam
Context triple: [bouncing bomb, notableTarget, Sorpe Dam]
  • A. Sorpe Dam chosen
    The Sorpe Dam is a German earth-fill dam in the Ruhr region that was a key target of the RAF’s World War II “Dambusters” raid, Operation Chastise.
  • B. Bütgenbach Dam
    Bütgenbach Dam is a hydroelectric and flood-control structure in eastern Belgium that creates Lake Bütgenbach, a popular site for recreation and water sports.
  • C. Diemel Dam
    Diemel Dam is a German reservoir dam that was one of the targets attacked during the World War II Dambusters Raid.
  • D. Edersee Dam
    The Edersee Dam is a large gravity dam in Germany’s Eder Valley, historically known for being one of the key German dams attacked by the RAF’s “Dambusters” using bouncing bombs during World War II.
  • E. Hohenwarte Dam
    Hohenwarte Dam is a large hydroelectric and flood-control dam on the Saale River in Thuringia, Germany, forming one of the country’s significant reservoir lakes.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd989b529c81909ee18dd3d468c816 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d316faaed48190aa51e52b5b774cd8 completed April 6, 2026, 2:14 a.m.
Created at: March 30, 2026, 7:59 p.m.