Triple

T5168171
Position Surface form Disambiguated ID Type / Status
Subject Ruhollah Khomeini E116608 entity
Predicate residence P75 FINISHED
Object Najaf, Iraq 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, Iraq | Statement: [Ruhollah Khomeini, residence, Najaf, Iraq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Najaf, Iraq
Context triple: [Ruhollah Khomeini, residence, Najaf, Iraq]
  • 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. Hillah, Iraq
    Hillah, Iraq is a city in central Iraq located near the ruins of ancient Babylon and serving as a regional administrative and commercial center.
  • C. 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.
  • 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. Sulaymaniyah
    Sulaymaniyah is a major city in the Kurdistan Region of Iraq, known as a cultural and economic center with a diverse linguistic landscape.
  • 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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd794b87508190be3b82726ef4b37c completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed93f33ac8190b2f60a8e95685bc8 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:45 p.m.