Triple

T13153156
Position Surface form Disambiguated ID Type / Status
Subject Hut 6 E312515 entity
Predicate usedCryptanalyticMethods P22717 FINISHED
Object Banburismus E1019464 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: Banburismus | Statement: [Hut 6, usedCryptanalyticMethods, Banburismus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banburismus
Context triple: [Hut 6, usedCryptanalyticMethods, Banburismus]
  • A. Banburismus chosen
    Banburismus was a cryptanalytic technique developed at Bletchley Park to help break German Enigma ciphers by reducing the number of keys that needed to be tested.
  • B. Bumehen
    Bumehen is a city in Iran that serves as one of the urban settlements within Pardis County, near Tehran.
  • C. Brabantic
    Brabantic is a group of closely related Dutch dialects traditionally spoken in the historical Duchy of Brabant, spanning parts of the Netherlands and Belgium.
  • D. Barooga
    Barooga is a small town in southern New South Wales, Australia, known for its Murray River location and recreational attractions such as golf courses and riverfront activities.
  • E. Kekerdom
    Kekerdom is a small village in the Dutch province of Gelderland, known for its rural landscape along the Waal River and traditional dike-side farms.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f71c5388190a6e122e14384efd7 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaee8aa0819089994b85d56c7740 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:11 p.m.