Triple

T20961034
Position Surface form Disambiguated ID Type / Status
Subject Bad Wildungen E516243 entity
Predicate hasCityPart P12399 FINISHED
Object Wega
Wega is a district of the spa town Bad Wildungen in the state of Hesse, Germany.
 E1477144 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: Wega | Statement: [Bad Wildungen, hasCityPart, Wega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wega
Context triple: [Bad Wildungen, hasCityPart, Wega]
  • A. Vega
    Vega is a European small-lift launch vehicle developed by the European Space Agency and partners, primarily used to place light payloads into low Earth orbit.
  • B. Vega
    Vega is a Norwegian island renowned for its UNESCO-listed archipelago, traditional eiderdown harvesting, and rich coastal birdlife.
  • C. Vega
    Vega is a masked, claw-wielding Spanish ninja and acrobatic antagonist from the Street Fighter fighting game series.
  • D. Vega
    Vega is a common Spanish surname borne by numerous notable individuals across fields such as entertainment, sports, and politics.
  • E. Vega
    Vega is an open-source visualization grammar and toolkit for creating, sharing, and exploring interactive data visualizations in a declarative JSON format.
  • 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: Wega
Triple: [Bad Wildungen, hasCityPart, Wega]
Generated description
Wega is a district of the spa town Bad Wildungen in the state of Hesse, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wega
Target entity description: Wega is a district of the spa town Bad Wildungen in the state of Hesse, Germany.
  • A. Vega
    Vega is a European small-lift launch vehicle developed by the European Space Agency and partners, primarily used to place light payloads into low Earth orbit.
  • B. Vega
    Vega is a Norwegian island renowned for its UNESCO-listed archipelago, traditional eiderdown harvesting, and rich coastal birdlife.
  • C. Vega
    Vega is an open-source visualization grammar and toolkit for creating, sharing, and exploring interactive data visualizations in a declarative JSON format.
  • D. Vega
    Vega is a masked, claw-wielding Spanish ninja and acrobatic antagonist from the Street Fighter fighting game series.
  • E. Vega
    Vega is a common Spanish surname borne by numerous notable individuals across fields such as entertainment, sports, and politics.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6f134081908b1ed48ce708f3d5 completed April 21, 2026, 4:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099ebe74f08190ad2e873ecd344e68 completed May 17, 2026, 10:55 a.m.
NEDg Description generation batch_6a099f69f1e08190bf96197fcf42b897 completed May 17, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_6a099feeda3481909d8020763f32d430 completed May 17, 2026, 11:01 a.m.
Created at: April 16, 2026, 1:31 p.m.