Triple

T22604920
Position Surface form Disambiguated ID Type / Status
Subject Surselva E566529 entity
Predicate contains P35 FINISHED
Object Lumnezia 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: Lumnezia | Statement: [Surselva, contains, Lumnezia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lumnezia
Context triple: [Surselva, contains, Lumnezia]
  • A. Lumnezia chosen
    Lumnezia is a municipality and valley region in the canton of Graubünden in southeastern Switzerland, known for its Romansh-speaking population and alpine landscape.
  • B. Orsza
    Orsza is the wartime pseudonym of Stanisław Broniewski, a Polish scoutmaster and resistance leader during World War II.
  • C. Burzenland
    Burzenland is a historic region in southeastern Transylvania, Romania, known for its medieval Saxon settlements, fortified churches, and strategic location in the Carpathian foothills.
  • D. Belonia
    Belonia is a small town in the South Tripura district of the Indian state of Tripura, near the India–Bangladesh border.
  • E. Ladania
    Ladania is a town located in the Madhubani district of the Indian state of Bihar.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f162709d808190af83837104a190f9 completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:53 p.m.