Triple

T17992381
Position Surface form Disambiguated ID Type / Status
Subject Mēmele E430403 entity
Predicate hasNameInLatvian P26844 FINISHED
Object Mēmele 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: Mēmele | Statement: [Mēmele, hasNameInLatvian, Mēmele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mēmele
Context triple: [Mēmele, hasNameInLatvian, Mēmele]
  • A. Mēmele chosen
    Mēmele is a river in the Baltic region that serves as one of the headwaters forming Latvia’s Lielupe River.
  • B. Misis
    Misis is an ancient city in modern-day Turkey, historically known as Mopsuestia, which was an important settlement in the Cilicia region through Hellenistic, Roman, and Byzantine times.
  • C. Mamati
    Mamati is a village in western Georgia notable as the birthplace of former Soviet and Georgian politician Eduard Shevardnadze.
  • D. Myene
    Myene is a Bantu language spoken primarily by the Myene people along Gabon’s Atlantic coast and recognized as one of the country’s main national languages.
  • E. Semeka
    Semeka is a former American college basketball player and coach best known for her standout career with the Tennessee Lady Volunteers under Pat Summitt.
  • 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.