Triple

T9952201
Position Surface form Disambiguated ID Type / Status
Subject Boulevard de Magenta E195356 entity
Predicate namedAfter P63 FINISHED
Object Magenta, Lombardy E329532 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: Magenta, Lombardy | Statement: [Boulevard de Magenta, namedAfter, Magenta, Lombardy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magenta, Lombardy
Context triple: [Boulevard de Magenta, namedAfter, Magenta, Lombardy]
  • A. Cologno Monzese
    Cologno Monzese is a suburban town in northern Italy known for hosting major television and media studios near Milan.
  • B. Montella, Italy
    Montella, Italy is a small town in the Campania region of southern Italy, known for its mountainous landscape and traditional chestnut production.
  • C. Melegnano
    Melegnano is a town in the Lombardy region of northern Italy, historically notable as the site of major Renaissance-era battles including the Battle of Marignano.
  • D. Bergamo
    Bergamo is a historic city in northern Italy known for its medieval walled upper town, rich artistic heritage, and strategic location at the foothills of the Alps.
  • E. Legnano chosen
    Legnano is a town in the Lombardy region of northern Italy, historically known for its medieval Battle of Legnano and its industrial development.
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6922f888190b5c4b58fbe21bea2 completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2293dc93881908aff4cb3640c0edf completed April 5, 2026, 9:19 a.m.
Created at: March 30, 2026, 8:46 p.m.