Triple

T14367650
Position Surface form Disambiguated ID Type / Status
Subject Sovetsko-Gavansky District E356276 entity
Predicate hasSettlement P1068 FINISHED
Object Vanino E25214 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: Vanino | Statement: [Sovetsko-Gavansky District, hasSettlement, Vanino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanino
Context triple: [Sovetsko-Gavansky District, hasSettlement, Vanino]
  • A. Vanino chosen
    Vanino is a key port town in Russia’s Far East that serves as an important hub for maritime trade and transport in the region.
  • B. Fasano
    Fasano is a historic town and popular tourist destination in the Apulia region of southern Italy, known for its whitewashed old center, nearby trulli houses, and coastal resorts.
  • C. Rumuokuta
    Rumuokuta is a community located within Obio-Akpor Local Government Area in Rivers State, Nigeria.
  • D. Togliatti
    Togliatti is a major industrial city in Russia best known as the home of the AvtoVAZ automobile plant that produces Lada cars.
  • E. Sulzano
    Sulzano is a small Italian town in Lombardy known for its picturesque location on the eastern shore of Lake Iseo and as the mainland access point to Monte Isola.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8faf00e8819087d7100e9d8c1877 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c51bf888190b1776461884c4514 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.