Triple

T15618548
Position Surface form Disambiguated ID Type / Status
Subject Valchiavennasco E375482 entity
Predicate partOf P40 FINISHED
Object Western Lombard E171783 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: Western Lombard | Statement: [Valchiavennasco, partOf, Western Lombard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Western Lombard
Context triple: [Valchiavennasco, partOf, Western Lombard]
  • A. Lombard language chosen
    The Lombard language is a Gallo-Italic Romance language spoken primarily in the Lombardy region of northern Italy and parts of Switzerland, characterized by distinct dialects such as Western and Eastern Lombard.
  • B. Lombardic
    Lombardic is an extinct West Germanic language once spoken by the Lombards in parts of Italy during the early Middle Ages.
  • C. Cremonese (Lombard variety)
    Cremonese is a regional variety of the Lombard language spoken in and around the city of Cremona in northern Italy.
  • D. Milanese
    Milanese is a Western Lombard dialect spoken primarily in and around the city of Milan in northern Italy.
  • E. Novarese Piedmontese
    Novarese Piedmontese is a regional variety of the Piedmontese language spoken around the city and province of Novara in northwestern Italy.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff908b1d6c819086441305b55f81fb completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 4:13 a.m.