Triple

T17242887
Position Surface form Disambiguated ID Type / Status
Subject Marijampolė County E418545 entity
Predicate hasSettlement P1068 FINISHED
Object Šakiai E417588 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: Šakiai | Statement: [Marijampolė County, hasSettlement, Šakiai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Šakiai
Context triple: [Marijampolė County, hasSettlement, Šakiai]
  • A. Šakiai chosen
    Šakiai is a small town in central Lithuania known as an administrative and local cultural center of the surrounding rural region.
  • B. Kaišiadorys
    Kaišiadorys is a small Lithuanian town known as an important railway junction and administrative center in central Lithuania.
  • C. Sudeikis
    Sudeikis is the surname of American actor, comedian, and writer Jason Sudeikis, known for his work on Saturday Night Live and the series Ted Lasso.
  • D. Šeštokai
    Šeštokai is a small town in southern Lithuania known as an important railway junction near the Polish border.
  • E. Pikuolis
    Pikuolis is a deity from Baltic paganism, commonly associated with the underworld, death, and chthonic forces.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e21003c81908c884a3c8712676a completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01794102348190ba5906c011fd014b completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:39 a.m.