Triple

T23089399
Position Surface form Disambiguated ID Type / Status
Subject Bad Salzuflen E575701 entity
Predicate hasNameElement P3097 FINISHED
Object Salzuflen
Salzuflen is the core name element of Bad Salzuflen, a spa town in North Rhine-Westphalia, Germany, known for its saltwater springs and health tourism.
E1570175 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: Salzuflen | Statement: [Bad Salzuflen, hasNameElement, Salzuflen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salzuflen
Context triple: [Bad Salzuflen, hasNameElement, Salzuflen]
  • A. Salzatal
    Salzatal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany, known for its rural character and location along the Saale valley.
  • B. Salzdahlum
    Salzdahlum is a village in Lower Saxony, Germany, historically associated with the ducal House of Brunswick-Wolfenbüttel.
  • C. Sulden
    Sulden is a small alpine village and ski resort in South Tyrol, northern Italy, known for its dramatic high-mountain scenery in the Ortler Alps.
  • D. Salis
    Salis is a French surname most notably associated with Rodolphe Salis, the founder of the famous Parisian cabaret Le Chat Noir.
  • E. Fleckenberg
    Fleckenberg is a village and district of the town of Schmallenberg in the Hochsauerland region of North Rhine-Westphalia, 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: Salzuflen
Triple: [Bad Salzuflen, hasNameElement, Salzuflen]
Generated description
Salzuflen is the core name element of Bad Salzuflen, a spa town in North Rhine-Westphalia, Germany, known for its saltwater springs and health tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Salzuflen
Target entity description: Salzuflen is the core name element of Bad Salzuflen, a spa town in North Rhine-Westphalia, Germany, known for its saltwater springs and health tourism.
  • A. Salzatal
    Salzatal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany, known for its rural character and location along the Saale valley.
  • B. Salzdahlum
    Salzdahlum is a village in Lower Saxony, Germany, historically associated with the ducal House of Brunswick-Wolfenbüttel.
  • C. Sulden
    Sulden is a small alpine village and ski resort in South Tyrol, northern Italy, known for its dramatic high-mountain scenery in the Ortler Alps.
  • D. Salis
    Salis is a French surname most notably associated with Rodolphe Salis, the founder of the famous Parisian cabaret Le Chat Noir.
  • E. Fleckenberg
    Fleckenberg is a village and district of the town of Schmallenberg in the Hochsauerland region of North Rhine-Westphalia, 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da8818481908d768a0462f3f837 completed April 29, 2026, 4:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c15b77f7c8190b374a581b776d155 completed May 19, 2026, 7:48 a.m.
NEDg Description generation batch_6a0c17791f8481909f0f42f9122e0c3a completed May 19, 2026, 7:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0c1863ea2c81909345cb5701fcd8ed completed May 19, 2026, 7:59 a.m.
Created at: April 17, 2026, 3:57 p.m.