Triple

T8984403
Position Surface form Disambiguated ID Type / Status
Subject Ticino E214619 entity
Predicate languageVariant P5595 FINISHED
Object Tessin (German) E95791 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: Tessin (German) | Statement: [Ticino, languageVariant, Tessin (German)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tessin (German)
Context triple: [Ticino, languageVariant, Tessin (German)]
  • A. Tessin chosen
    Tessin is a region in southern Switzerland historically associated with Lepontic inscriptions and early Alpine Celtic culture.
  • B. Gothenburger
    A Gothenburger is a resident or native of Gothenburg, Sweden’s second-largest city and a major port on the country’s west coast.
  • C. Dettingen unter Teck
    Dettingen unter Teck is a municipality in the district of Esslingen in Baden-Württemberg, Germany, situated at the foot of the Swabian Jura.
  • D. Braunlage
    Braunlage is a German town and ski resort in the Harz Mountains, known for its winter sports, hiking opportunities, and scenic natural surroundings.
  • E. Bönnsch
    Bönnsch is a regional German beer style and dialect variant from Bonn, closely associated with and similar to the Kölsch tradition of nearby Cologne.
  • 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67ecc5188190a6fb4d5456893121 completed April 1, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0b89a7481908f747043d2a68a37 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:03 p.m.