Triple

T16460358
Position Surface form Disambiguated ID Type / Status
Subject Lyss E399789 entity
Predicate partOf P40 FINISHED
Object Seeland region E63063 NE FINISHED

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: Seeland region | Statement: [Lyss, partOf, Seeland region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seeland region
Context triple: [Lyss, partOf, Seeland region]
  • A. Seeland region chosen
    The Seeland region is an area in western Switzerland known for its lakes, fertile plains, and intensive agriculture, particularly vegetable farming.
  • B. Senja region
    The Senja region is a coastal area in Troms, Northern Norway, centered on the island of Senja and known for its dramatic mountains, fjords, and fishing communities.
  • C. Kutaisi region
    The Kutaisi region is a historically significant area in western Georgia, centered around the city of Kutaisi and known for its ancient cultural heritage and archaeological sites.
  • D. Vivarais region
    The Vivarais region is a historic area in south-central France, largely corresponding to part of the Ardèche department, known for its rugged landscapes, vineyards, and river valleys.
  • E. Gäu region
    The Gäu region is a rural area in the Swiss canton of Solothurn characterized by its agricultural landscape, small towns, and location along major transport routes between the Jura mountains and the Swiss Plateau.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d80e66c8190b2b3199efe9cfaa1 completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005817fa088190a0eb85016fe5afc4 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:10 a.m.