Triple

T15183822
Position Surface form Disambiguated ID Type / Status
Subject phaeno Science Center E362814 entity
Predicate operator P179 FINISHED
Object phaeno gGmbH
phaeno gGmbH is the non-profit company responsible for managing and running the phaeno Science Center in Wolfsburg, Germany.
E1141237 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: phaeno gGmbH | Statement: [phaeno Science Center, operator, phaeno gGmbH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: phaeno gGmbH
Context triple: [phaeno Science Center, operator, phaeno gGmbH]
  • A. Smart GmbH
    Smart GmbH is a German automotive company best known for producing compact city cars under the Smart brand.
  • B. Innotek GmbH
    Innotek GmbH was a German software company best known for creating the VirtualBox virtualization platform before its acquisition by Sun Microsystems.
  • C. Rossmanith GmbH
    Rossmanith GmbH is a German company best known as the original founding firm behind the remote-access software provider TeamViewer.
  • D. BVG Projekt GmbH
    BVG Projekt GmbH is a subsidiary company of Berlin’s public transport operator that specializes in planning and managing infrastructure and development projects for the city’s transit network.
  • E. ARTEC GmbH
    ARTEC GmbH is a German defense industry consortium responsible for developing and producing the Boxer multirole armored fighting vehicle.
  • 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: phaeno gGmbH
Triple: [phaeno Science Center, operator, phaeno gGmbH]
Generated description
phaeno gGmbH is the non-profit company responsible for managing and running the phaeno Science Center in Wolfsburg, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: phaeno gGmbH
Target entity description: phaeno gGmbH is the non-profit company responsible for managing and running the phaeno Science Center in Wolfsburg, Germany.
  • A. Smart GmbH
    Smart GmbH is a German automotive company best known for producing compact city cars under the Smart brand.
  • B. Innotek GmbH
    Innotek GmbH was a German software company best known for creating the VirtualBox virtualization platform before its acquisition by Sun Microsystems.
  • C. Rossmanith GmbH
    Rossmanith GmbH is a German company best known as the original founding firm behind the remote-access software provider TeamViewer.
  • D. BVG Projekt GmbH
    BVG Projekt GmbH is a subsidiary company of Berlin’s public transport operator that specializes in planning and managing infrastructure and development projects for the city’s transit network.
  • E. ARTEC GmbH
    ARTEC GmbH is a German defense industry consortium responsible for developing and producing the Boxer multirole armored fighting vehicle.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006674c088190ba635a78c30f5637 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec893f1e08190a192b7b9b80484e8 completed May 9, 2026, 5:39 a.m.
NEDg Description generation batch_69fec91a2d708190bcc67793c46b2a61 completed May 9, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_69feca0d38088190910dbf4f2538a9d4 completed May 9, 2026, 5:45 a.m.
Created at: April 10, 2026, 3:09 a.m.