Triple

T3559538
Position Surface form Disambiguated ID Type / Status
Subject Lombard E75301 entity
Predicate hasDialect P4251 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: [Lombard, hasDialect, Western Lombard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Western Lombard
Context triple: [Lombard, hasDialect, 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. Novarese Piedmontese
    Novarese Piedmontese is a regional variety of the Piedmontese language spoken around the city and province of Novara in northwestern Italy.
  • D. Lombard
    Lombard is a Gallo-Italic Romance language traditionally spoken in and around Milan and across much of Lombardy in northern Italy.
  • E. Romanesco dialect
    The Romanesco dialect is a variety of Italian traditionally spoken in Rome, characterized by distinctive phonetic and lexical features that set it apart from standard Italian.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc089270c81908bc200c84fe1592e completed March 8, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb9de4bc8190ba5d111465e66cf8 completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:20 p.m.