Triple

T15475713
Position Surface form Disambiguated ID Type / Status
Subject Samogitians E376775 entity
Predicate majorTownInRegion P118397 FINISHED
Object Mažeikiai E445526 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: Mažeikiai | Statement: [Samogitians, majorTownInRegion, Mažeikiai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mažeikiai
Context triple: [Samogitians, majorTownInRegion, Mažeikiai]
  • A. Mažeikiai chosen
    Mažeikiai is a town in northwestern Lithuania known for its large oil refinery and role as an industrial and transport hub in the Samogitia region.
  • B. Sakiai
    Sakiai is a small town in southwestern Lithuania known for its proximity to the Russian and Polish borders and its role as a local administrative and cultural center.
  • C. Švenčionys
    Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
  • D. Terikiai
    Terikiai is a village settlement located on the atoll of Tabiteuea in the island nation of Kiribati.
  • E. Rokiškis
    Rokiškis is a town in northeastern Lithuania known for its well-preserved manor, historic architecture, and role as a regional cultural center.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6e859481909c3d08343b7ad27c completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff454ac84c8190b1979e6caca3ee66 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 3:34 a.m.