Triple

T10741865
Position Surface form Disambiguated ID Type / Status
Subject Poblenou campus E253344 entity
Predicate neighborhood P988 FINISHED
Object Poblenou
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.
 E883851 NE FINISHED

How this triple was built (4 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: [Poblenou campus, neighborhood, Poblenou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Poblenou
Context triple: [Poblenou campus, neighborhood, Poblenou]
  • A. Považie
    Považie is a historical and geographical region of Slovakia situated along the Váh River, known for its valleys, towns, and cultural significance.
  • B. Husinec
    Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
  • C. Pacov
    Pacov is a small historic town in the Czech Republic, located in the Vysočina Region on the Bohemian-Moravian Highlands.
  • D. 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.
  • E. Dôle
    Dôle is a traditional Swiss red wine blend from the Valais region, typically made from Pinot Noir and Gamay grapes and known for its fruity, approachable character.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Poblenou
Triple: [Poblenou campus, neighborhood, Poblenou]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Poblenou
Target entity description: 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.
  • A. Považie
    Považie is a historical and geographical region of Slovakia situated along the Váh River, known for its valleys, towns, and cultural significance.
  • B. Husinec
    Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
  • C. Pacov
    Pacov is a small historic town in the Czech Republic, located in the Vysočina Region on the Bohemian-Moravian Highlands.
  • D. 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.
  • E. Dôle
    Dôle is a traditional Swiss red wine blend from the Valais region, typically made from Pinot Noir and Gamay grapes and known for its fruity, approachable character.
  • F. None of above. chosen

Provenance (5 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_69de22fc13b0819098caf88328397053 completed April 14, 2026, 11:20 a.m.
NEDg Description generation batch_69de271e2698819093bba748a0a0db5d completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cdd79608190bad8045939556bc7 completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:15 p.m.