Triple

T4247466
Position Surface form Disambiguated ID Type / Status
Subject Burgundian Wars E95562 entity
Predicate belligerent P375 FINISHED
Object City of Schwyz E282362 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: City of Schwyz | Statement: [Burgundian Wars, belligerent, City of Schwyz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Schwyz
Context triple: [Burgundian Wars, belligerent, City of Schwyz]
  • A. Schwenningen
    Schwenningen is a district of Villingen-Schwenningen in Baden-Württemberg, Germany, known for its ice hockey tradition and as the home of the Schwenninger Wild Wings.
  • B. Kilchberg
    Kilchberg is a municipality on the shores of Lake Zurich in Switzerland, known for its scenic residential character and as the home of the Lindt & Sprüngli chocolate factory.
  • C. Sigmaringen
    Sigmaringen is a historic town in southwestern Germany best known for its Hohenzollern castle and its role as a former seat of the Hohenzollern-Sigmaringen principality.
  • D. Schwyz chosen
    Schwyz is a historic canton in central Switzerland, known as one of the founding members that gave the Swiss Confederation its name.
  • E. Unterwallenstadt
    Unterwallenstadt is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e9cb71481909b4baa370193148f completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b77ce4d48190ba24e3ef8c9ceb8d completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:05 p.m.