Triple

T10533045
Position Surface form Disambiguated ID Type / Status
Subject Province of León E248491 entity
Predicate contains P35 FINISHED
Object Ponferrada E879350 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: Ponferrada | Statement: [Province of León, contains, Ponferrada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ponferrada
Context triple: [Province of León, contains, Ponferrada]
  • A. Ponferrada chosen
    Ponferrada is a historic city in Spain’s León province, known for its Templar castle and as a major stop for pilgrims on the Camino de Santiago.
  • B. Mondoñedo
    Mondoñedo is a historic town in northwestern Spain, renowned for its medieval cathedral and former status as an important ecclesiastical and administrative center in the region of Galicia.
  • C. Sarria
    Sarria is a historic town in the province of Lugo, Galicia, Spain, known today as a major starting point on the Camino de Santiago pilgrimage route.
  • D. Astorga
    Astorga is a historic city in the province of León, Spain, known for its Roman heritage, medieval cathedral, and a Modernist Episcopal Palace designed by Antoni Gaudí.
  • E. La Bañeza
    La Bañeza is a small historic city in northwestern Spain known for its cultural festivals and traditional architecture.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a19b59c8190b00db7d5813ad37d completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d99884c70481909fb45b7598f84c64 completed April 11, 2026, 12:40 a.m.
Created at: April 6, 2026, 12:30 p.m.