Triple

T20940163
Position Surface form Disambiguated ID Type / Status
Subject Môtier E515696 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Praz 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: Praz | Statement: [Môtier, hasNearbySettlement, Praz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Praz
Context triple: [Môtier, hasNearbySettlement, Praz]
  • A. Praz chosen
    Praz is a small Swiss village situated near Lake Murten, known for its scenic lakeside setting and surrounding vineyards.
  • B. Prabuty
    Prabuty is a historic town in northern Poland known for its medieval heritage and location in the lake-dotted landscape of the former Warmia-Masuria region.
  • C. Prakazrel
    Prakazrel is the birth name of Pras, an American rapper, producer, and member of the influential hip hop group Fugees.
  • D. Pronsk
    Pronsk is a historic town in Ryazan Oblast, Russia, known for its medieval origins and role as a local administrative and cultural center.
  • E. Pravonín
    Pravonín is a small municipality and village in the Central Bohemian Region of the Czech Republic.
  • 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f954e44481909098a0b23a687d5e completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:50 p.m.