Triple

T21198546
Position Surface form Disambiguated ID Type / Status
Subject Amiénois E522389 entity
Predicate partOf P40 FINISHED
Object Picard language NE NERFINISHED

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: Picard language | Statement: [Amiénois, partOf, Picard language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Picard language
Context triple: [Amiénois, partOf, Picard language]
  • A. Picard language chosen
    Picard language is a Romance language of northern France and parts of Belgium, closely related to French and Walloon and traditionally spoken in the Picardy and Nord–Pas-de-Calais regions.
  • B. Picene language
    The Picene language is an extinct Italic language once spoken by the ancient Piceni people in east-central Italy.
  • C. Nomatsiguenga language
    The Nomatsiguenga language is an Arawakan language spoken by the Nomatsiguenga people of Peru’s Amazon rainforest, closely associated with the broader Asháninka linguistic and cultural group.
  • D. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • E. Piipaash language
    The Piipaash language is a Native American language of the Yuman family traditionally spoken by the Piipaash (Maricopa) people of the lower Colorado River region in the southwestern United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7333d6dec8190bbc66a71b31ea559 completed April 21, 2026, 8:20 a.m.
Created at: April 16, 2026, 3:16 p.m.