Triple

T6437899
Position Surface form Disambiguated ID Type / Status
Subject Der Spiegel E129943 entity
Predicate hasAbbreviation P43 FINISHED
Object Spiegel E129943 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: Spiegel | Statement: [Der Spiegel, hasAbbreviation, Spiegel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spiegel
Context triple: [Der Spiegel, hasAbbreviation, Spiegel]
  • A. Spiegel
    Spiegel is a surname most prominently associated with Evan Spiegel, the co-founder and CEO of Snap Inc.
  • B. Der Spiegel chosen
    Der Spiegel is a leading German weekly news magazine known for its investigative journalism and significant influence on political and public discourse in Germany.
  • C. Warta
    Warta is a major river in western-central Poland that flows through several important cities before joining the Oder River.
  • D. Die Neue Rundschau
    Die Neue Rundschau is a long-running German literary magazine renowned for publishing major works of modern literature and essays by prominent authors.
  • E. Pravda
    Pravda was the official newspaper of the Soviet Union’s Communist Party and a primary mouthpiece for state propaganda and ideology.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06964186c8190aeeb0038f4696032 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bc1ccdc8190a171281a846173c0 completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:45 p.m.