Triple

T9670291
Position Surface form Disambiguated ID Type / Status
Subject Yevanic E234006 entity
Predicate hasAlternativeName P39 FINISHED
Object Jevanic
Jevanic is a historical Judeo-Greek language traditionally spoken by the Romaniote Jewish communities of the Eastern Mediterranean.
 E814624 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: Jevanic | Statement: [Yevanic, hasAlternativeName, Jevanic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jevanic
Context triple: [Yevanic, hasAlternativeName, Jevanic]
  • A. Jurjev
    Jurjev is a historical name for the Estonian city of Tartu, reflecting its past under various regional powers.
  • B. Junkovac
    Junkovac is a small settlement located within the municipality of Lazarevac in Serbia.
  • C. Njeguši
    Njeguši is a historic Montenegrin village in the mountains of the Lovćen region, renowned as the birthplace of the Petrović-Njegoš dynasty and for its traditional smoked ham and cheese.
  • D. Svilajnac
    Svilajnac is a small Serbian town in the Pomoravlje District, known for its location in the Morava River valley and its regional administrative and cultural role.
  • E. Cvijić
    Cvijić is a Serbian surname most prominently associated with the renowned geographer and ethnologist Jovan Cvijić.
  • 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: Jevanic
Triple: [Yevanic, hasAlternativeName, Jevanic]
Generated description
Jevanic is a historical Judeo-Greek language traditionally spoken by the Romaniote Jewish communities of the Eastern Mediterranean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jevanic
Target entity description: Jevanic is a historical Judeo-Greek language traditionally spoken by the Romaniote Jewish communities of the Eastern Mediterranean.
  • A. Jurjev
    Jurjev is a historical name for the Estonian city of Tartu, reflecting its past under various regional powers.
  • B. Junkovac
    Junkovac is a small settlement located within the municipality of Lazarevac in Serbia.
  • C. Njeguši
    Njeguši is a historic Montenegrin village in the mountains of the Lovćen region, renowned as the birthplace of the Petrović-Njegoš dynasty and for its traditional smoked ham and cheese.
  • D. Svilajnac
    Svilajnac is a small Serbian town in the Pomoravlje District, known for its location in the Morava River valley and its regional administrative and cultural role.
  • E. Cvijić
    Cvijić is a Serbian surname most prominently associated with the renowned geographer and ethnologist Jovan Cvijić.
  • F. None of above. chosen

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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c3ec17081908c2da74a1d1f49da completed April 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190f9bf78819093542adae997a668 completed April 4, 2026, 10:30 p.m.
NEDg Description generation batch_69d1925ea9388190a25db357959fc807 completed April 4, 2026, 10:36 p.m.
NED2 Entity disambiguation (via description) batch_69d192c001708190b3b9a28af99ea452 completed April 4, 2026, 10:37 p.m.
Created at: March 30, 2026, 8:15 p.m.