Triple

T10742089
Position Surface form Disambiguated ID Type / Status
Subject Glòries E253350 entity
Predicate nearbyNeighborhood P4647 FINISHED
Object Poblenou E883851 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: Poblenou | Statement: [Glòries, nearbyNeighborhood, Poblenou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poblenou
Context triple: [Glòries, nearbyNeighborhood, Poblenou]
  • A. Poblenou chosen
    Poblenou is a former industrial district in Barcelona that has been transformed into a vibrant neighborhood known for its tech hub, creative spaces, and urban renewal projects.
  • B. Považie
    Považie is a historical and geographical region of Slovakia situated along the Váh River, known for its valleys, towns, and cultural significance.
  • C. Husinec
    Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
  • D. Pacov
    Pacov is a small historic town in the Czech Republic, located in the Vysočina Region on the Bohemian-Moravian Highlands.
  • E. Sobrance
    Sobrance is a small town in eastern Slovakia near the Ukrainian border, known as an administrative center of the Sobrance District in the Košice Region.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710456ec88190ad8aff8804d13aa9 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de558f26e88190a9cb8f4d0539e5a5 completed April 14, 2026, 2:56 p.m.
Created at: April 8, 2026, 9:15 p.m.