Triple

T15898922
Position Surface form Disambiguated ID Type / Status
Subject Bautzen district E385533 entity
Predicate containsTown P847 FINISHED
Object Wilthen
Wilthen is a small town in the Bautzen district of Saxony in eastern Germany, known for its picturesque setting and regional spirits production.
E1183112 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: Wilthen | Statement: [Bautzen district, containsTown, Wilthen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilthen
Context triple: [Bautzen district, containsTown, Wilthen]
  • A. Lutwidge
    Lutwidge is an English surname most notably associated with the family of Charles Lutwidge Dodgson, better known as Lewis Carroll.
  • B. Cicely
    Cicely is a feminine given name most famously borne by the acclaimed American actress Cicely Tyson.
  • C. Wayte
    Wayte is a surname variant of Waite, historically associated with English-speaking regions.
  • D. Archibold
    Archibold is a less common variant spelling of the given name Archibald, traditionally of Germanic and Scottish origin.
  • E. Esmond
    Esmond is a village in the town of Smithfield in Providence County, Rhode Island, known historically for its textile mill and early industrial development.
  • 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: Wilthen
Triple: [Bautzen district, containsTown, Wilthen]
Generated description
Wilthen is a small town in the Bautzen district of Saxony in eastern Germany, known for its picturesque setting and regional spirits production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wilthen
Target entity description: Wilthen is a small town in the Bautzen district of Saxony in eastern Germany, known for its picturesque setting and regional spirits production.
  • A. Lutwidge
    Lutwidge is an English surname most notably associated with the family of Charles Lutwidge Dodgson, better known as Lewis Carroll.
  • B. Cicely
    Cicely is a feminine given name most famously borne by the acclaimed American actress Cicely Tyson.
  • C. Wayte
    Wayte is a surname variant of Waite, historically associated with English-speaking regions.
  • D. Archibold
    Archibold is a less common variant spelling of the given name Archibald, traditionally of Germanic and Scottish origin.
  • E. Esmond
    Esmond is a village in the town of Smithfield in Providence County, Rhode Island, known historically for its textile mill and early industrial development.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563bd0688190b6f7a695be0a4625 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04d4d1c819091d9b3357ca0deca completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb190ae4881909ac299dfa6e7d9b6 completed May 9, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69ffb25747148190bc96cf19acf85e29 completed May 9, 2026, 10:16 p.m.
Created at: April 10, 2026, 4:51 a.m.