Triple

T8346501
Position Surface form Disambiguated ID Type / Status
Subject Koblenz E196047 entity
Predicate hasTwinTown P919 FINISHED
Object Novara E580829 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: Novara | Statement: [Koblenz, hasTwinTown, Novara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novara
Context triple: [Koblenz, hasTwinTown, Novara]
  • A. Novara chosen
    Novara is a city in the Piedmont region of northern Italy, known for its historic center, rice cultivation in the surrounding plains, and role as an important local economic and cultural hub.
  • B. Biella
    Biella is a city in the Piedmont region of northern Italy, known for its textile industry and Alpine foothill setting.
  • C. Voghera
    Voghera is a town in the Lombardy region of northern Italy, known historically as a local agricultural and commercial center.
  • D. 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.
  • E. Ivrea
    Ivrea is a historic town in Italy’s Piedmont region, known for its medieval architecture, industrial heritage, and the famous Battle of the Oranges carnival.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8013d81c81908da48466cffb3939 completed March 31, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b1495b3081909be160d97179b6e1 completed April 4, 2026, 6:35 a.m.
Created at: March 30, 2026, 5:58 p.m.