Triple

T18365819
Position Surface form Disambiguated ID Type / Status
Subject محافظة الجهراء E440042 entity
Predicate borders P224 FINISHED
Object العراق 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: العراق | Statement: [محافظة الجهراء, borders, العراق]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: العراق
Context triple: [محافظة الجهراء, borders, العراق]
  • 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. 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.
  • E. Iragbiji
    Iragbiji is a prominent town in southwestern Nigeria, recognized as one of the key urban centers of the Ijesha people in Osun State.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5174d31608190851a5bab6878c203 completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:38 a.m.