Triple

T12450741
Position Surface form Disambiguated ID Type / Status
Subject Nizam-i Cedid E297524 entity
Predicate location P40 FINISHED
Object Rumelia E155886 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: Rumelia | Statement: [Nizam-i Cedid, location, Rumelia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rumelia
Context triple: [Nizam-i Cedid, location, Rumelia]
  • A. Rumelia Eyalet chosen
    Rumelia Eyalet was a major administrative province of the Ottoman Empire in the Balkans, encompassing much of its European territory for several centuries.
  • B. Roumeli
    Roumeli is a historical region in central Greece that played a key role in the Greek War of Independence.
  • C. Anatolia Eyalet
    Anatolia Eyalet was a major administrative province of the Ottoman Empire encompassing much of western and central Anatolia.
  • D. Balkan Province
    Balkan Province is a western region of Turkmenistan along the Caspian Sea, known for its oil and gas resources and diverse ethnic communities.
  • E. Balkans and Anatolia
    Balkans and Anatolia is a broad geographic area spanning southeastern Europe and western Asia that historically formed the core heartland of the Ottoman Empire.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d9fa5f0819080ca9f6efa212c59 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f16e87c8190b7e9f61561ae865a completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.