Triple

T9220586
Position Surface form Disambiguated ID Type / Status
Subject كسوة الكعبة E221348 entity
Predicate تاريخياً كانت تصنع في P87658 FINISHED
Object العراق 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: العراق | Statement: [كسوة الكعبة, تاريخياً كانت تصنع في, العراق]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: العراق
Context triple: [كسوة الكعبة, تاريخياً كانت تصنع في, 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. 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. Iragbiji
    Iragbiji is a prominent town in southwestern Nigeria, recognized as one of the key urban centers of the Ijesha people in Osun State.
  • E. Iranistan
    Iranistan was P.T. Barnum’s lavish, Moorish-style mansion in Bridgeport, Connecticut, famed for its exotic architecture before it was destroyed by fire in the 19th century.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda75b6888190814cfb890e763b8f completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0662c28648190979cf786fc35ab75 completed April 4, 2026, 1:15 a.m.
Created at: March 30, 2026, 7:28 p.m.