Triple

T8583378
Position Surface form Disambiguated ID Type / Status
Subject Arrow Cross coup E203240 entity
Predicate participant P858 FINISHED
Object SS E1506 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: SS | Statement: [Arrow Cross coup, participant, SS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SS
Context triple: [Arrow Cross coup, participant, SS]
  • A. SS
    SS is the IATA airline designator used to identify Corsair International flights in global aviation systems.
  • B. SS
    The SS is a high-performance "Super Sport" trim level of the Chevrolet Camaro, featuring more powerful engines and sport-tuned components compared to standard models.
  • C. SS
    SS is the UK postcode area covering Southend-on-Sea and surrounding parts of Essex in eastern England.
  • D. SS chosen
    The SS was a paramilitary organization of Nazi Germany that became one of the principal instruments of terror, repression, and mass murder, including the systematic genocide of Jews and other targeted groups during World War II.
  • E. SS
    SS is a post-nominal abbreviation used by recipients of the U.S. military’s Silver Star Medal, one of the nation’s highest awards for valor in combat.
  • 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbeb1d0edc8190b4495935275252f3 completed March 31, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89bfb95c81909660460d5813fdaf completed April 2, 2026, 3:22 p.m.
Created at: March 30, 2026, 6:22 p.m.