Triple

T21084555
Position Surface form Disambiguated ID Type / Status
Subject National Front (second formation) E519451 entity
Predicate opposedBy P437 FINISHED
Object SAVAK 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: SAVAK | Statement: [National Front (second formation), opposedBy, SAVAK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAVAK
Context triple: [National Front (second formation), opposedBy, SAVAK]
  • A. SAVAK chosen
    SAVAK was the notorious secret police and intelligence organization of Iran under Shah Mohammad Reza Pahlavi, known for its widespread surveillance, repression, and human rights abuses.
  • B. Docharkheh Savaran
    Docharkheh Savaran was the original name of the Iranian football club now known as Esteghlal F.C., one of Iran’s most successful and popular teams.
  • C. Sayfo
    Sayfo is the term used by Assyrians to refer to the World War I–era genocide in which large numbers of Assyrian Christians were massacred in the Ottoman Empire.
  • D. Yasaq
    Yasaq is the traditional legal code attributed to Genghis Khan that governed the Mongol Empire’s military, social, and political life.
  • E. Sarfarosh
    Sarfarosh is a 1999 Indian Hindi-language action drama film acclaimed for its gritty portrayal of cross-border terrorism and for featuring Aamir Khan in a powerful lead role as an honest police officer.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e709498fc081908d92a93e8678c140 completed April 21, 2026, 5:21 a.m.
Created at: April 16, 2026, 2:49 p.m.