Triple

T14427944
Position Surface form Disambiguated ID Type / Status
Subject Cumania region in medieval Hungary E357742 entity
Predicate ethnicCharacter P2501 FINISHED
Object Cuman E751262 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: Cuman | Statement: [Cumania region in medieval Hungary, ethnicCharacter, Cuman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cuman
Context triple: [Cumania region in medieval Hungary, ethnicCharacter, Cuman]
  • A. Cuman chosen
    The Cumans were a nomadic Turkic people of the Eurasian steppe who played a major role in medieval Eastern European and Black Sea politics and warfare.
  • B. Dondo
    Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • C. Dondo
    Dondo is a town and district in central Mozambique known as an important railway and industrial hub near the port city of Beira in Sofala Province.
  • D. Comrat
    Comrat is the administrative and cultural center of the autonomous region of Gagauzia in southern Moldova, known for its Gagauz Turkic heritage and wine production.
  • E. Goromonzi
    Goromonzi is a town and rural district center in northeastern Zimbabwe known for its agricultural activities and proximity to the capital, Harare.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91154de881909266ae88d1545685 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64898c088190ab4eef32ca4f5ed6 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:18 a.m.