Triple

T9622536
Position Surface form Disambiguated ID Type / Status
Subject Siegfried Wagner E232378 entity
Predicate placeOfBirth P1 FINISHED
Object Tribschen
Tribschen is a lakeside district of Lucerne, Switzerland, best known as the former residence of composer Richard Wagner and the birthplace of his son Siegfried.
 E809807 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: Tribschen | Statement: [Siegfried Wagner, placeOfBirth, Tribschen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tribschen
Context triple: [Siegfried Wagner, placeOfBirth, Tribschen]
  • A. Churfirsten
    Churfirsten is a prominent mountain range in the Swiss Alps known for its striking row of steep, cliff-like peaks overlooking Lake Walen.
  • B. Schorisse
    Schorisse is a village in East Flanders, Belgium, that now forms part of the municipality of Maarkedal.
  • C. Tolochenaz
    Tolochenaz is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known for its quiet residential character and proximity to Lausanne.
  • D. Seckbach
    Seckbach is a district in the east of Frankfurt am Main, Germany, known for its residential character and proximity to green spaces like the Lohrberg.
  • E. Bonheiden
    Bonheiden is a municipality in the Belgian province of Antwerp, known as a residential community near the city of Mechelen.
  • 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: Tribschen
Triple: [Siegfried Wagner, placeOfBirth, Tribschen]
Generated description
Tribschen is a lakeside district of Lucerne, Switzerland, best known as the former residence of composer Richard Wagner and the birthplace of his son Siegfried.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tribschen
Target entity description: Tribschen is a lakeside district of Lucerne, Switzerland, best known as the former residence of composer Richard Wagner and the birthplace of his son Siegfried.
  • A. Churfirsten
    Churfirsten is a prominent mountain range in the Swiss Alps known for its striking row of steep, cliff-like peaks overlooking Lake Walen.
  • B. Schorisse
    Schorisse is a village in East Flanders, Belgium, that now forms part of the municipality of Maarkedal.
  • C. Tolochenaz
    Tolochenaz is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known for its quiet residential character and proximity to Lausanne.
  • D. Seckbach
    Seckbach is a district in the east of Frankfurt am Main, Germany, known for its residential character and proximity to green spaces like the Lohrberg.
  • E. Bonheiden
    Bonheiden is a municipality in the Belgian province of Antwerp, known as a residential community near the city of Mechelen.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad505588190b8c81ce09f1904ec completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1797386d88190bc1d9309ecc1b4fb completed April 4, 2026, 8:49 p.m.
NEDg Description generation batch_69d17a0d603881908066d61fff1d2fda completed April 4, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_69d17a769b608190b49ad82b35cf1b44 completed April 4, 2026, 8:54 p.m.
Created at: March 30, 2026, 8:10 p.m.