Triple

T18070897
Position Surface form Disambiguated ID Type / Status
Subject Mark IV tank E432423 entity
Predicate operator P179 FINISHED
Object Germany (captured vehicles) 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: Germany (captured vehicles) | Statement: [Mark IV tank, operator, Germany (captured vehicles)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germany (captured vehicles)
Context triple: [Mark IV tank, operator, Germany (captured vehicles)]
  • A. Germany chosen
    Germany is a major Central European country known for its pivotal role in 20th-century history, its strong industrial economy, and its influential contributions to science, philosophy, music, and engineering.
  • B. BAVARIA
    BAVARIA is the radio callsign used by the former German regional airline Deutsche BA.
  • C. Germany B
    Germany B is the secondary national football team of Germany, typically used to develop and evaluate players on the fringe of the senior national squad.
  • D. Saksa
    Saksa is a prominent mountain in Norway’s Sunnmøre Alps, known for its steep ascent and panoramic views over the Hjørundfjord.
  • E. Germania
    Germania was the ancient Roman term for the vast region of central Europe inhabited by various Germanic tribes beyond the empire’s northeastern frontiers.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccee2fa4819098a61f7fdb8f1853 completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.