Triple

T268621
Position Surface form Disambiguated ID Type / Status
Subject Lake Como E5575 entity
Predicate locatedIn P40 FINISHED
Object Lombardy E19656 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: Lombardy | Statement: [Lake Como, locatedIn, Lombardy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lombardy
Context triple: [Lake Como, locatedIn, Lombardy]
  • A. Lombardy chosen
    Lombardy is a populous and economically powerful region in northern Italy, known for its capital Milan and its role as a major European hub for finance, fashion, and industry.
  • B. Liguria
    Liguria is a coastal region in northwestern Italy known for its picturesque Riviera, including the Cinque Terre and the city of Genoa.
  • C. Northern Italy
    Northern Italy is a geographically and economically significant region of Italy, known for its Alpine landscapes, industrial cities, and historical role as a major theater of European conflicts.
  • D. Friuli Venezia Giulia
    Friuli Venezia Giulia is an autonomous region in northeastern Italy known for its cultural diversity, Alpine and Adriatic landscapes, and strategic position bordering Austria and Slovenia.
  • E. Umbria
    Umbria is a central Italian region known for its historic hill towns, medieval architecture, and rich cultural heritage.
  • 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_69a25853594c8190b05ec3a586ec88bf completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25dae4a0c8190a66cf6ed3889851c completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a39d0313b48190a3e8e1667a051610 completed March 1, 2026, 1:57 a.m.
Created at: Feb. 28, 2026, 2:57 a.m.