Triple

T10362602
Position Surface form Disambiguated ID Type / Status
Subject Ronda de Sant Pere E244173 entity
Predicate locatedIn P40 FINISHED
Object Ciutat Vella E244165 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: Ciutat Vella | Statement: [Ronda de Sant Pere, locatedIn, Ciutat Vella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ciutat Vella
Context triple: [Ronda de Sant Pere, locatedIn, Ciutat Vella]
  • A. Ciutat Vella chosen
    Ciutat Vella is Barcelona’s historic city center, known for its medieval streets, Gothic architecture, and major cultural landmarks.
  • B. Barri Vell
    Barri Vell is the historic old quarter of Girona, known for its medieval streets, ancient city walls, and well-preserved architectural heritage.
  • C. Sant Joan Despí
    Sant Joan Despí is a municipality in the Baix Llobregat comarca near Barcelona, Spain, known for its modernist architecture and role as a residential and industrial suburb of the Catalan capital.
  • D. Peret
    Peret is the ancient Egyptian season associated with the emergence of crops and the growing period following the annual Nile inundation.
  • E. Ciudad Vieja
    Ciudad Vieja is the historic old town of Montevideo, Uruguay, known for its colonial architecture, cultural landmarks, and vibrant portside atmosphere.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e962f08c8190a7ac489dc524510d completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d94af4ee6881909a36ee1a06a9d3e2 completed April 10, 2026, 7:09 p.m.
Created at: April 6, 2026, noon