Triple

T15772241
Position Surface form Disambiguated ID Type / Status
Subject Ziyarat E382389 entity
Predicate performedAt P270 FINISHED
Object Najaf E67251 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: Najaf | Statement: [Ziyarat, performedAt, Najaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Najaf
Context triple: [Ziyarat, performedAt, Najaf]
  • A. Najaf chosen
    Najaf is a major Iraqi city revered as a holy center of Shia Islam and home to the Imam Ali Shrine.
  • B. Najaf Governorate
    Najaf Governorate is an administrative region in central Iraq that includes the holy city of Najaf, a major center of Shia Islam and religious scholarship.
  • C. Baqubah
    Baqubah is a city in eastern Iraq that serves as the capital of Diyala Governorate and lies northeast of Baghdad.
  • D. Tikrit
    Tikrit is a city in northern Iraq best known as the hometown of former president Saddam Hussein and a focal point in recent Iraqi history.
  • E. Kirkuk
    Kirkuk is a historically significant, oil-rich and ethnically diverse city in northern Iraq that has long been a focal point of political and territorial disputes.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e051976d248190adddd3db9f758e22 completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998559088190b1f2942564a42ace completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:47 a.m.