Triple

T10769219
Position Surface form Disambiguated ID Type / Status
Subject Moianès E254030 entity
Predicate contains P35 FINISHED
Object Castellterçol E685450 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: Castellterçol | Statement: [Moianès, contains, Castellterçol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castellterçol
Context triple: [Moianès, contains, Castellterçol]
  • A. Castellterçol chosen
    Castellterçol is a small historic town in the comarca of Moianès in Catalonia, Spain, known for its traditional Catalan architecture and rural surroundings.
  • B. Castellolí
    Castellolí is a small municipality in the Anoia comarca of Catalonia, Spain, known for its rural setting and proximity to the Montserrat mountain range.
  • C. Sant Celoni
    Sant Celoni is a town in Catalonia, Spain, located northeast of Barcelona in the Vallès Oriental comarca, known as a local commercial and transport hub between the Montseny and Montnegre natural areas.
  • D. 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.
  • E. Benicarló
    Benicarló is a coastal town in the province of Castellón, Spain, known for its Mediterranean beaches, agricultural production (especially artichokes), and historic old quarter.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d732307fb88190ba1447f68523c58a completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f68e99c2608190b923ca8a9178fea2 completed May 2, 2026, 11:54 p.m.
Created at: April 8, 2026, 9:16 p.m.