Triple

T7281018
Position Surface form Disambiguated ID Type / Status
Subject Darülfünun E163145 entity
Predicate region 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: [Darülfünun, region, Rumelia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rumelia
Context triple: [Darülfünun, region, 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. 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.
  • E. Anatolia
    Anatolia is a large peninsula in Western Asia that forms most of modern-day Turkey and has long served as a strategic crossroads between Europe and the Middle East.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb34fe0c8190a642fd3339f0cacd completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db379e1c81908ebd4c44504ce5fb completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 2:59 p.m.