Triple

T17992382
Position Surface form Disambiguated ID Type / Status
Subject Mēmele E430403 entity
Predicate hasNameInLithuanian P64982 FINISHED
Object Mėmelė NE NERFINISHED

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: Mėmelė | Statement: [Mēmele, hasNameInLithuanian, Mėmelė]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mėmelė
Context triple: [Mēmele, hasNameInLithuanian, Mėmelė]
  • A. Mēmele chosen
    Mēmele is a river in the Baltic region that serves as one of the headwaters forming Latvia’s Lielupe River.
  • B. Mümling
    The Mümling is a river in the Odenwald region of Germany that flows through Hesse and Bavaria before joining the Main.
  • C. Mille
    Mille is a French surname most notably borne by individuals such as Stéphane Mille.
  • D. Miękinia
    Miękinia is a village in southwestern Poland that serves as the administrative center of the surrounding Gmina Miękinia.
  • E. Molėtai
    Molėtai is a small town in northeastern Lithuania known for its surrounding lakes, observatory, and role as a regional tourist and recreational center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b2a0f8588190b6090c7cce60a35f completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.