Triple

T1062971
Position Surface form Disambiguated ID Type / Status
Subject Iranian Revolution E22947 entity
Predicate opposed P437 FINISHED
Object SAVAK E116617 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: SAVAK | Statement: [Iranian Revolution, opposed, SAVAK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAVAK
Context triple: [Iranian Revolution, opposed, 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. Fida'i
    Fida'i is the national anthem of the State of Palestine, expressing Palestinian identity, struggle, and aspirations for freedom and self-determination.
  • C. Saho
    Saho is a Cushitic language spoken primarily by the Saho people in Eritrea and neighboring regions of the Horn of Africa.
  • D. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • E. Kabuliwala
    Kabuliwala is a celebrated short story by Rabindranath Tagore that portrays the poignant bond between an Afghan fruit seller and a young Bengali girl, exploring themes of fatherhood, separation, and human connection.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8f68a54819084326d87c3498252 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bd553a08190a2014711bd1146bf completed March 7, 2026, 2:53 p.m.
Created at: March 1, 2026, 7:42 p.m.