Triple

T20318097
Position Surface form Disambiguated ID Type / Status
Subject Schuttrange E492134 entity
Predicate hasSettlement P1068 FINISHED
Object Uebersyren
Uebersyren is a small town in central Luxembourg, situated within the commune of Schuttrange.
E1423656 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: Uebersyren | Statement: [Schuttrange, hasSettlement, Uebersyren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uebersyren
Context triple: [Schuttrange, hasSettlement, Uebersyren]
  • A. Saulgrub
    Saulgrub is a small Bavarian municipality in southern Germany, situated in the alpine foothills and known for its rural character and scenic surroundings.
  • B. Skurge
    Skurge is a Marvel Comics character, often depicted as the Asgardian warrior "Skurge the Executioner," known for his complex arc from villainy to a redemptive sacrifice.
  • C. Ursem
    Ursem is a village in the Dutch province of North Holland, known for its rural character and traditional polder landscape.
  • D. Hellesylt
    Hellesylt is a small Norwegian village and popular tourist gateway to the UNESCO-listed Geirangerfjord, known for its dramatic fjord scenery and waterfalls.
  • E. Skreia
    Skreia is a village in Østre Toten Municipality in Innlandet county, Norway, known for its rural setting near Lake Mjøsa.
  • 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: Uebersyren
Triple: [Schuttrange, hasSettlement, Uebersyren]
Generated description
Uebersyren is a small town in central Luxembourg, situated within the commune of Schuttrange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Uebersyren
Target entity description: Uebersyren is a small town in central Luxembourg, situated within the commune of Schuttrange.
  • A. Saulgrub
    Saulgrub is a small Bavarian municipality in southern Germany, situated in the alpine foothills and known for its rural character and scenic surroundings.
  • B. Skurge
    Skurge is a Marvel Comics character, often depicted as the Asgardian warrior "Skurge the Executioner," known for his complex arc from villainy to a redemptive sacrifice.
  • C. Ursem
    Ursem is a village in the Dutch province of North Holland, known for its rural character and traditional polder landscape.
  • D. Hellesylt
    Hellesylt is a small Norwegian village and popular tourist gateway to the UNESCO-listed Geirangerfjord, known for its dramatic fjord scenery and waterfalls.
  • E. Skreia
    Skreia is a village in Østre Toten Municipality in Innlandet county, Norway, known for its rural setting near Lake Mjøsa.
  • 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67789d8108190ae2e134f4b0b0be5 completed April 20, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0861246f188190a0ffb84a61a7d8c1 completed May 16, 2026, 12:20 p.m.
NEDg Description generation batch_6a08627316d48190ab6f2f2cedd9b1db completed May 16, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_6a086317d0888190809268c3b8b95f6f completed May 16, 2026, 12:29 p.m.
Created at: April 16, 2026, 11:20 a.m.