Triple

T10153039
Position Surface form Disambiguated ID Type / Status
Subject Ortaköy E232697 entity
Predicate historicalRegion P915 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: [Ortaköy, historicalRegion, Rumelia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rumelia
Context triple: [Ortaköy, historicalRegion, 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec376cd48190990862c56c3a4dce completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e64b5a40819093f29ec34cb0a763 completed April 5, 2026, 10:46 p.m.
Created at: March 30, 2026, 9:08 p.m.