Triple

T14561682
Position Surface form Disambiguated ID Type / Status
Subject Cronenbourg E341680 entity
Predicate localLanguage P1252 FINISHED
Object Alsatian E853462 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: Alsatian | Statement: [Cronenbourg, localLanguage, Alsatian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alsatian
Context triple: [Cronenbourg, localLanguage, Alsatian]
  • A. Alsatian chosen
    Alsatians are a regional ethnic group from Alsace in northeastern France, characterized by a distinct blend of French and German cultural, linguistic, and historical influences.
  • B. Metz dialect
    The Metz dialect is a regional variety of the Lorrain Romance language traditionally spoken in and around the city of Metz in northeastern France.
  • C. Valentinois
    Valentinois are the inhabitants or natives of Valence, a city in the Drôme department of southeastern France.
  • D. Berrichon dialect
    The Berrichon dialect is a regional variety of French traditionally spoken in the Berry region of central France, reflecting its distinct rural and historical linguistic heritage.
  • E. Raverdinois
    Raverdinois are the inhabitants or natives of the commune of Varreddes in France.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb389d0f48190a1d9d69456d1cbe1 completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac294748190a4bfeed8c5fd9e94 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.