Triple

T10988274
Position Surface form Disambiguated ID Type / Status
Subject Rhön-Grabfeld E259686 entity
Predicate contains P35 FINISHED
Object Salz (Rhön-Grabfeld)
Salz (Rhön-Grabfeld) is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
E898344 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: Salz (Rhön-Grabfeld) | Statement: [Rhön-Grabfeld, contains, Salz (Rhön-Grabfeld)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salz (Rhön-Grabfeld)
Context triple: [Rhön-Grabfeld, contains, Salz (Rhön-Grabfeld)]
  • 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. Saaleck
    Saaleck is a small locality in Germany, historically notable as the birthplace of the pioneering Protestant theologian Johann Salomo Semler.
  • C. Albersloh
    Albersloh is a village in North Rhine-Westphalia, Germany, known for its rural character and location along the Werse River.
  • D. Schwarzenbach an der Saale
    Schwarzenbach an der Saale is a small town in northeastern Bavaria, Germany, situated on the Saale River and known for its picturesque setting and regional industry.
  • E. Bad Salzungen
    Bad Salzungen is a spa town in Thuringia, Germany, known for its saline springs and therapeutic health resorts.
  • 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: Salz (Rhön-Grabfeld)
Triple: [Rhön-Grabfeld, contains, Salz (Rhön-Grabfeld)]
Generated description
Salz (Rhön-Grabfeld) is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Salz (Rhön-Grabfeld)
Target entity description: Salz (Rhön-Grabfeld) is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
  • 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. Saaleck
    Saaleck is a small locality in Germany, historically notable as the birthplace of the pioneering Protestant theologian Johann Salomo Semler.
  • C. Albersloh
    Albersloh is a village in North Rhine-Westphalia, Germany, known for its rural character and location along the Werse River.
  • D. Schwarzenbach an der Saale
    Schwarzenbach an der Saale is a small town in northeastern Bavaria, Germany, situated on the Saale River and known for its picturesque setting and regional industry.
  • E. Bad Salzungen
    Bad Salzungen is a spa town in Thuringia, Germany, known for its saline springs and therapeutic health resorts.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b574d08190adec34b814a26437 completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344f95ab88190bbce8f0eab0b2713 completed April 18, 2026, 8:46 a.m.
NEDg Description generation batch_69e3556e8b408190a02a1fe194ae5750 completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e3591ecd548190b049ce95fe3f86d9 completed April 18, 2026, 10:12 a.m.
Created at: April 8, 2026, 9:24 p.m.