Triple

T14013289
Position Surface form Disambiguated ID Type / Status
Subject United Nations Compensation Commission E337140 entity
Predicate appliesToCountry P1129 FINISHED
Object Iraq E6006 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: Iraq | Statement: [United Nations Compensation Commission, appliesToCountry, Iraq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iraq
Context triple: [United Nations Compensation Commission, appliesToCountry, Iraq]
  • A. Iraq chosen
    Iraq is a Middle Eastern country historically significant for its ancient Mesopotamian civilizations and its major role in 20th- and 21st-century geopolitics and conflicts.
  • B. Firaaq
    Firaaq is a critically acclaimed 2008 Indian drama film directed by Nandita Das that explores the emotional aftermath of the 2002 Gujarat riots through multiple interwoven stories.
  • C. Irakkamam
    Irakkamam is a town located in Sri Lanka’s Eastern Province within the Ampara District.
  • D. Ba'athist Iraq
    Ba'athist Iraq was the authoritarian Iraqi state under Saddam Hussein’s Ba'ath Party rule from 1968 until the 2003 U.S.-led invasion.
  • E. Suriya
    Suriya is a prominent Indian actor and producer best known for his versatile performances in Tamil cinema across action, drama, and socially themed films.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f37d11481909159bdb9e1e8d38e completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac98ca448190b585ef69a4e4bfca completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.