Triple

T5673645
Position Surface form Disambiguated ID Type / Status
Subject Arab Revolt E125033 entity
Predicate location P40 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: [Arab Revolt, location, Iraq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iraq
Context triple: [Arab Revolt, location, 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. 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.
  • C. 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.
  • D. Kurdistan
    Kurdistan is a geo-cultural region in the Middle East spanning parts of Turkey, Iraq, Iran, and Syria, traditionally inhabited by the Kurdish people and known for its distinct language, culture, and ongoing autonomy and independence movements.
  • E. Syria
    Syria is a country in the Eastern Mediterranean region of Western Asia, known for its ancient civilizations, diverse cultural heritage, and protracted civil war since 2011.
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023700ba88190ba7c829785f20c82 completed March 22, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04db5c9a08190b1d6b7db87d0d9ac completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:43 p.m.