Triple

T13436148
Position Surface form Disambiguated ID Type / Status
Subject Líguru E320233 entity
Predicate region P40 FINISHED
Object Imperia E251904 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: Imperia | Statement: [Líguru, region, Imperia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imperia
Context triple: [Líguru, region, Imperia]
  • A. Imperia chosen
    Imperia is a coastal city in northwestern Italy’s Liguria region, known for its olive oil production, historic port, and seaside tourism.
  • B. Moncalieri
    Moncalieri is a historic town near Turin in the Piedmont region of northern Italy, known for its royal Savoy residence and medieval center.
  • C. Novi Ligure
    Novi Ligure is a town in the Piedmont region of northwestern Italy, historically notable as the site of the 1799 Battle of Novi during the French Revolutionary Wars.
  • D. Biella
    Biella is a city in the Piedmont region of northern Italy, known for its textile industry and Alpine foothill setting.
  • E. Nizza Monferrato
    Nizza Monferrato is a small town in Italy’s Piedmont region, known for its wine production—especially Barbera d’Asti—and its historic role in the Monferrato wine-growing area.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee42a8c8190a85716b4a6db335e completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76ba16b948190b7e753368eabf012 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:40 p.m.