Triple

T16934690
Position Surface form Disambiguated ID Type / Status
Subject Darülhadis madrasas E410797 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: [Darülhadis madrasas, historicalRegion, Rumelia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rumelia
Context triple: [Darülhadis madrasas, historicalRegion, Rumelia]
  • A. Rumelia qadiasker
    Rumelia qadiasker was a high-ranking Ottoman judicial official responsible for overseeing legal and religious courts in the Rumelia (Balkan) provinces of the empire.
  • B. 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.
  • C. Roumeli
    Roumeli is a historical region in central Greece that played a key role in the Greek War of Independence.
  • D. Anatolia Eyalet
    Anatolia Eyalet was a major administrative province of the Ottoman Empire encompassing much of western and central Anatolia.
  • E. 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.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf2899608190a6bacdce9d4ceb84 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d45e64d881909da963825d2eea98 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:30 a.m.