Triple

T11737612
Position Surface form Disambiguated ID Type / Status
Subject Schwechat E279069 entity
Predicate hasNeighbour P5707 FINISHED
Object Kledering
Kledering is a village in Lower Austria, Austria, situated near the town of Schwechat on the outskirts of Vienna.
 E944228 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: Kledering | Statement: [Schwechat, hasNeighbour, Kledering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kledering
Context triple: [Schwechat, hasNeighbour, Kledering]
  • A. Fashn
    Fashn is a city in Egypt located within the Beni Suef Governorate along the Nile River.
  • B. Outfit
    Outfit is a common nickname for the Chicago Outfit, a powerful Italian-American organized crime syndicate historically based in Chicago.
  • C. Menswear
    Menswear was a mid-1990s British Britpop band known for its sharp mod-influenced style and brief burst of chart success.
  • D. Jeans
    "Jeans" is a 1998 Indian Tamil-language romantic comedy film directed by Shankar, known for its lavish production, visual effects, and A. R. Rahman’s popular soundtrack.
  • E. Jeans
    Jeans is a common English surname borne by various notable individuals, including the British physicist and astronomer Sir James Jeans.
  • 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: Kledering
Triple: [Schwechat, hasNeighbour, Kledering]
Generated description
Kledering is a village in Lower Austria, Austria, situated near the town of Schwechat on the outskirts of Vienna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kledering
Target entity description: Kledering is a village in Lower Austria, Austria, situated near the town of Schwechat on the outskirts of Vienna.
  • A. Fashn
    Fashn is a city in Egypt located within the Beni Suef Governorate along the Nile River.
  • B. Outfit
    Outfit is a common nickname for the Chicago Outfit, a powerful Italian-American organized crime syndicate historically based in Chicago.
  • C. Menswear
    Menswear was a mid-1990s British Britpop band known for its sharp mod-influenced style and brief burst of chart success.
  • D. Jeans
    "Jeans" is a 1998 Indian Tamil-language romantic comedy film directed by Shankar, known for its lavish production, visual effects, and A. R. Rahman’s popular soundtrack.
  • E. Jeans
    Jeans is a common English surname borne by various notable individuals, including the British physicist and astronomer Sir James Jeans.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4ef1c4881909ad36dc27b1fe193 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019c339cc81909967ecfa234e4ab8 completed April 28, 2026, 2:21 a.m.
NEDg Description generation batch_69f01d7ab930819095eaae226ab55b80 completed April 28, 2026, 2:37 a.m.
NED2 Entity disambiguation (via description) batch_69f043ddbfe481908e0c439dbd3e944f completed April 28, 2026, 5:21 a.m.
Created at: April 8, 2026, 9:41 p.m.