Triple

T2860063
Position Surface form Disambiguated ID Type / Status
Subject Qusay Hussein E63296 entity
Predicate placeOfDeath P21 FINISHED
Object Mosul E66842 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: Mosul | Statement: [Qusay Hussein, placeOfDeath, Mosul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mosul
Context triple: [Qusay Hussein, placeOfDeath, Mosul]
  • A. Mosul chosen
    Mosul is a major historic city in northern Iraq, known as a cultural and economic center on the Tigris River.
  • B. Erbil
    Erbil is the capital and largest city of the Kurdistan Region in northern Iraq, known as one of the world’s oldest continuously inhabited urban centers.
  • C. 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.
  • D. 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.
  • E. Baghdad
    Baghdad is the capital and largest city of Iraq, historically renowned as a major center of the Islamic Golden Age and a key cultural and economic hub of the Arab world.
  • 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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf8c676c8190ab29f89d50bd09c3 completed March 7, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b12e0c57b481908726496e6c2fc395 completed March 11, 2026, 8:55 a.m.
Created at: March 6, 2026, 10:02 p.m.