Triple

T8283114
Position Surface form Disambiguated ID Type / Status
Subject MedienHafen E193726 entity
Predicate hasLandmarkBuilding P14728 FINISHED
Object Colorium
Colorium is a strikingly colorful high-rise office building in Düsseldorf’s MedienHafen district, known for its distinctive façade and contemporary architectural design.
 E723392 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: Colorium | Statement: [MedienHafen, hasLandmarkBuilding, Colorium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Colorium
Context triple: [MedienHafen, hasLandmarkBuilding, Colorium]
  • A. Kalorama
    Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
  • B. Cellamare
    Cellamare is a small town and comune in the Apulia region of southern Italy, situated within the Metropolitan City of Bari.
  • C. Candalus
    Candalus is a figure from Greek mythology known as a son of Rhode.
  • D. Gamelia
    Gamelia is an epithet associated with the Greek goddess Hera, emphasizing her role as protector of marriage and weddings.
  • E. Telaria
    Telaria was a video advertising and monetization technology company specializing in connected TV and premium video inventory.
  • 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: Colorium
Triple: [MedienHafen, hasLandmarkBuilding, Colorium]
Generated description
Colorium is a strikingly colorful high-rise office building in Düsseldorf’s MedienHafen district, known for its distinctive façade and contemporary architectural design.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Colorium
Target entity description: Colorium is a strikingly colorful high-rise office building in Düsseldorf’s MedienHafen district, known for its distinctive façade and contemporary architectural design.
  • A. Kalorama
    Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
  • B. Cellamare
    Cellamare is a small town and comune in the Apulia region of southern Italy, situated within the Metropolitan City of Bari.
  • C. Candalus
    Candalus is a figure from Greek mythology known as a son of Rhode.
  • D. Gamelia
    Gamelia is an epithet associated with the Greek goddess Hera, emphasizing her role as protector of marriage and weddings.
  • E. Telaria
    Telaria was a video advertising and monetization technology company specializing in connected TV and premium video inventory.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7aceec8881909cdfa488dfedc0f5 completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6877b8e481908ec1e0b91a5276f6 completed April 1, 2026, 6:48 p.m.
NEDg Description generation batch_69cd6d5441248190a9e32281dc8e8d62 completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e20f71c8190959319c6683a2810 completed April 1, 2026, 8:20 p.m.
Created at: March 30, 2026, 5:51 p.m.