Triple

T2186519
Position Surface form Disambiguated ID Type / Status
Subject Mongol Ilkhanate E49163 entity
Predicate majorCity P316 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: [Mongol Ilkhanate, majorCity, Mosul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mosul
Context triple: [Mongol Ilkhanate, majorCity, 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf1152688190955c14c0937deefd completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae95f7e5448190a31dcb5ba3c547fb completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:45 p.m.