Triple

T19472856
Position Surface form Disambiguated ID Type / Status
Subject Planken E487167 entity
Predicate sharesNationalGovernmentWith P48855 FINISHED
Object Mauren 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: Mauren | Statement: [Planken, sharesNationalGovernmentWith, Mauren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mauren
Context triple: [Planken, sharesNationalGovernmentWith, Mauren]
  • A. Mauren chosen
    Mauren is a municipality in the Principality of Liechtenstein, known for its residential character and location near the Swiss border.
  • B. Marlen
    Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
  • C. Myrna
    Myrna is a feminine given name most famously associated with American film actress Myrna Loy.
  • D. Maica
    Maica is a feminine given name, commonly used as a diminutive or affectionate form of María del Carmen in Spanish-speaking cultures.
  • E. Mia Ausa
    Mia Ausa is a young, kind-hearted magician and the daughter of the Magic Guild's leader in the role-playing game Lunar: The Silver Star.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633ea604c8190a2feacb709b7ca27 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.