Triple

T11134991
Position Surface form Disambiguated ID Type / Status
Subject Friedrichsdorf E263386 entity
Predicate hasTwinTown P919 FINISHED
Object Bad Wimsbach-Neydharting
Bad Wimsbach-Neydharting is a small spa town in Upper Austria known for its therapeutic mud baths and rural charm.
E907965 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: Bad Wimsbach-Neydharting | Statement: [Friedrichsdorf, hasTwinTown, Bad Wimsbach-Neydharting]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Wimsbach-Neydharting
Context triple: [Friedrichsdorf, hasTwinTown, Bad Wimsbach-Neydharting]
  • A. Gernsbach
    Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
  • B. Beutelsbach
    Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
  • C. Niederlahnstein
    Niederlahnstein is a former town on the right bank of the Rhine in Rhineland-Palatinate, Germany, now part of the city of Lahnstein.
  • D. Lommersweiler
    Lommersweiler is a village and municipal section of the town of St. Vith in the German-speaking Community of eastern Belgium.
  • E. Brombach
    Brombach is a small village and district within the municipality of Schmitten in the Hochtaunus region of Hesse, Germany.
  • 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: Bad Wimsbach-Neydharting
Triple: [Friedrichsdorf, hasTwinTown, Bad Wimsbach-Neydharting]
Generated description
Bad Wimsbach-Neydharting is a small spa town in Upper Austria known for its therapeutic mud baths and rural charm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bad Wimsbach-Neydharting
Target entity description: Bad Wimsbach-Neydharting is a small spa town in Upper Austria known for its therapeutic mud baths and rural charm.
  • A. Gernsbach
    Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
  • B. Beutelsbach
    Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
  • C. Niederlahnstein
    Niederlahnstein is a former town on the right bank of the Rhine in Rhineland-Palatinate, Germany, now part of the city of Lahnstein.
  • D. Lommersweiler
    Lommersweiler is a village and municipal section of the town of St. Vith in the German-speaking Community of eastern Belgium.
  • E. Brombach
    Brombach is a small village and district within the municipality of Schmitten in the Hochtaunus region of Hesse, Germany.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85daddc8190a1ae2a4a75cc8d50 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441fa286881909a8279a8ea6944e7 completed April 19, 2026, 2:46 a.m.
NEDg Description generation batch_69e44c09163481909d6a469b1e50b6ff completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e4519f4d408190be9863c72006ecad completed April 19, 2026, 3:53 a.m.
Created at: April 8, 2026, 9:28 p.m.