Triple

T16028561
Position Surface form Disambiguated ID Type / Status
Subject Anna Polovetskaya E388782 entity
Predicate ethnicOrigin P194 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: [Anna Polovetskaya, ethnicOrigin, Cuman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cuman
Context triple: [Anna Polovetskaya, ethnicOrigin, 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 a town and district in central Mozambique known as an important railway and industrial hub near the port city of Beira in Sofala Province.
  • C. Dondo
    Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183294984819080b8727a3511a21b completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf33c6a881909284933ea3b7dd6e completed May 10, 2026, 12:20 a.m.
Created at: April 10, 2026, 4:56 a.m.