Triple

T15629434
Position Surface form Disambiguated ID Type / Status
Subject Ottoman Iraq E375769 entity
Predicate hasPart P35 FINISHED
Object Mosul Vilayet 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 Vilayet | Statement: [Ottoman Iraq, hasPart, Mosul Vilayet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mosul Vilayet
Context triple: [Ottoman Iraq, hasPart, Mosul Vilayet]
  • A. Mosul chosen
    Mosul is a major historic city in northern Iraq, known as a cultural and economic center on the Tigris River.
  • B. Duhok
    Duhok is a city in the Kurdistan Region of Iraq, known as a growing cultural and economic center surrounded by mountains near the Turkish and Syrian borders.
  • C. 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.
  • D. 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.
  • E. Baghdad Governorate
    Baghdad Governorate is an Iraqi administrative region centered on the capital city of Baghdad, serving as the political and economic heart of the country.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb4301881908c7157227fdf79b6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7568028481908caa1e49541bbcf1 completed May 9, 2026, 5:56 p.m.
Created at: April 10, 2026, 4:14 a.m.