Triple

T11619566
Position Surface form Disambiguated ID Type / Status
Subject Vilanova i la Geltrú E275600 entity
Predicate twinTown P1072 FINISHED
Object Manlleu E879968 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: Manlleu | Statement: [Vilanova i la Geltrú, twinTown, Manlleu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manlleu
Context triple: [Vilanova i la Geltrú, twinTown, Manlleu]
  • A. Manlleu chosen
    Manlleu is a town and municipality in the comarca of Osona in Catalonia, Spain, known historically for its textile industry along the Ter River.
  • B. Cardedeu
    Cardedeu is a municipality in the province of Barcelona, Catalonia, known for its modernist architecture and location near the Montseny Natural Park.
  • C. Banyoles
    Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
  • D. Gandria
    Gandria is a picturesque lakeside village in southern Switzerland known for its historic stone houses, narrow alleyways, and scenic setting on the shores of Lake Lugano.
  • E. Ampurias
    Ampurias (Empúries) was an ancient Greek and later Roman coastal settlement in northeastern Spain that became an important trading hub in the western Mediterranean.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a1206f1c81908d92024ef71958c0 completed April 10, 2026, 7:05 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.