Triple

T10399140
Position Surface form Disambiguated ID Type / Status
Subject Obernai E245096 entity
Predicate traditionalLanguage P6149 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: [Obernai, traditionalLanguage, Alsatian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alsatian
Context triple: [Obernai, traditionalLanguage, 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. Freygish
    Freygish is a distinctive Jewish musical mode characterized by its augmented second interval and expressive, Eastern European cantorial sound.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9d1f2408190beaa8197641c66b4 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbc759a08190be677bf5458af0c8 completed April 9, 2026, 7:19 p.m.
Created at: April 6, 2026, 12:07 p.m.