Triple

T1654767
Position Surface form Disambiguated ID Type / Status
Subject Saalekreis E35772 entity
Predicate contains P35 FINISHED
Object 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.
 E192394 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: Salzatal | Statement: [Saalekreis, contains, Salzatal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Salzatal
Context triple: [Saalekreis, contains, Salzatal]
  • A. Lochau
    Lochau is a locality in Germany historically noted as the place where the influential Reformation-era prince Frederick the Wise died.
  • B. Sasbach
    Sasbach is a municipality in southwestern Germany near the Rhine, historically noted as the battlefield where the French marshal Turenne was killed in 1675.
  • C. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • D. Friedenau
    Friedenau is a residential district in southwestern Berlin known for its historic architecture, leafy streets, and literary heritage.
  • E. Naunhof
    Naunhof is a small town in the Free State of Saxony in eastern Germany, known for its surrounding lakes and forests near the city of Leipzig.
  • 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: Salzatal
Triple: [Saalekreis, contains, Salzatal]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Salzatal
Target entity description: 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.
  • A. Lochau
    Lochau is a locality in Germany historically noted as the place where the influential Reformation-era prince Frederick the Wise died.
  • B. Sasbach
    Sasbach is a municipality in southwestern Germany near the Rhine, historically noted as the battlefield where the French marshal Turenne was killed in 1675.
  • C. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • D. Friedenau
    Friedenau is a residential district in southwestern Berlin known for its historic architecture, leafy streets, and literary heritage.
  • E. Naunhof
    Naunhof is a small town in the Free State of Saxony in eastern Germany, known for its surrounding lakes and forests near the city of Leipzig.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a8b597c81908a62b41718d85df6 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8abe91bc8190ba363e1f7fd07b9f completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad9575acf88190aa3fe80794534dd4 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97a7128c819097ff36216f00d4f9 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:29 p.m.