Triple

T2504762
Position Surface form Disambiguated ID Type / Status
Subject Province of Como E52551 entity
Predicate hasRegionalLanguage P2982 FINISHED
Object Lombard E75301 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: Lombard | Statement: [Province of Como, hasRegionalLanguage, Lombard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lombard
Context triple: [Province of Como, hasRegionalLanguage, Lombard]
  • A. Lombard chosen
    Lombard is a Gallo-Italic Romance language traditionally spoken in and around Milan and across much of Lombardy in northern Italy.
  • B. Cremona
    Cremona is a historic city in northern Italy renowned for its tradition of violin making and its well-preserved medieval architecture.
  • C. Pavia
    Pavia is a historic city in northern Italy, known for its ancient university, medieval architecture, and significant role in Lombardy’s cultural and academic life.
  • D. Certaldo
    Certaldo is a historic Tuscan town in central Italy, best known as the birthplace and longtime home of the writer Giovanni Boccaccio.
  • E. Beneventum
    Beneventum was an important ancient Roman city in southern Italy, strategically located as a key junction on major roads and known for its military and commercial significance.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1cec9f48190848b6129aa394ce4 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fa57aa4819096578a5538973ec4 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:46 p.m.