Triple

T11599883
Position Surface form Disambiguated ID Type / Status
Subject Dumfries E275099 entity
Predicate hasTwinTown P919 FINISHED
Object Cantù E275306 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: Cantù | Statement: [Dumfries, hasTwinTown, Cantù]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cantù
Context triple: [Dumfries, hasTwinTown, Cantù]
  • A. Cantù chosen
    Cantù is a town in the Lombardy region of northern Italy, known for its furniture-making tradition and location near Como.
  • B. Massalengo
    Massalengo is a municipality in the Lombardy region of northern Italy, situated within the Province of Lodi.
  • C. Schignano
    Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
  • D. Cascia
    Cascia is a historic hill town and pilgrimage site in the Umbria region of central Italy, best known for its association with Saint Rita of Cascia.
  • E. Rieti
    Rieti is a historic town in central Italy often considered the geographical center of the country and known for its medieval architecture and proximity to the Apennine Mountains.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8954c3c248190bcccd4c7ff667b3a completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69f08f811ff481908e2c14902a3361a2 completed April 28, 2026, 10:44 a.m.
Created at: April 8, 2026, 9:38 p.m.