Triple

T15629431
Position Surface form Disambiguated ID Type / Status
Subject Ottoman Iraq E375769 entity
Predicate hasPart P35 FINISHED
Object Mosul Eyalet
Mosul Eyalet was a provincial administrative division of the Ottoman Empire centered on the city of Mosul in what is now northern Iraq.
 E66842 NE FINISHED

How this triple was built (4 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 Eyalet | Statement: [Ottoman Iraq, hasPart, Mosul Eyalet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mosul Eyalet
Context triple: [Ottoman Iraq, hasPart, Mosul Eyalet]
  • A. Mosul
    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. 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.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mosul Eyalet
Triple: [Ottoman Iraq, hasPart, Mosul Eyalet]
Generated description
Mosul Eyalet was a provincial administrative division of the Ottoman Empire centered on the city of Mosul in what is now northern Iraq.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mosul Eyalet
Target entity description: Mosul Eyalet was a provincial administrative division of the Ottoman Empire centered on the city of Mosul in what is now northern Iraq.
  • 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. 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.
  • 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.

Provenance (5 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_69ff678c9d8c8190be73b6e7ed558e99 completed May 9, 2026, 4:57 p.m.
NEDg Description generation batch_69ff6883b5048190b64e4361bc89dd80 completed May 9, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_69ff6911a76c819088c8a86d2106b6c6 completed May 9, 2026, 5:04 p.m.
Created at: April 10, 2026, 4:14 a.m.