Triple

T9759269
Position Surface form Disambiguated ID Type / Status
Subject Lombard League E236628 entity
Predicate hasMember P10 FINISHED
Object Alessandria E238351 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: Alessandria | Statement: [Lombard League, hasMember, Alessandria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alessandria
Context triple: [Lombard League, hasMember, Alessandria]
  • A. Alessandria chosen
    Alessandria is a city in the Piedmont region of northwestern Italy, known as an important industrial and transportation hub.
  • B. Cuneo
    Cuneo is a city in the Piedmont region of northwestern Italy, known for its Alpine setting, agricultural traditions, and use of the Piedmontese language.
  • C. Biella
    Biella is a city in the Piedmont region of northern Italy, known for its textile industry and Alpine foothill setting.
  • D. Tortona
    Tortona is a historic town in the Piedmont region of northern Italy, known for its medieval architecture and strategic location between Milan and Genoa.
  • E. Villafranca Piemonte
    Villafranca Piemonte is a municipality in the Piedmont region of northwestern Italy, historically associated with the House of Savoy.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda049995c81908569ec61805642b2 completed April 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89eedc66c81909076cc7ba35f9da5 completed April 10, 2026, 6:55 a.m.
Created at: March 30, 2026, 8:24 p.m.