Triple

T4790020
Position Surface form Disambiguated ID Type / Status
Subject State of Salzburg E106577 entity
Predicate contains P35 FINISHED
Object Tamsweg
Tamsweg is a market town in the Lungau region of Austria known as a local administrative and cultural center within the State of Salzburg.
E470001 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: Tamsweg | Statement: [State of Salzburg, contains, Tamsweg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamsweg
Context triple: [State of Salzburg, contains, Tamsweg]
  • A. Tureberg
    Tureberg is a central district in Sollentuna Municipality, Sweden, known for housing the municipal center and key public services.
  • B. Drensteinfurt
    Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
  • C. Lauterach
    Lauterach is a small municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its rural character and scenic Swabian Jura surroundings.
  • D. Rohrau
    Rohrau is a small Austrian village in Lower Austria best known as the birthplace of composer Joseph Haydn.
  • E. Neudorf
    Neudorf is a residential district of Strasbourg, France, known for its dense urban fabric, local commerce, and proximity to the city center.
  • 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: Tamsweg
Triple: [State of Salzburg, contains, Tamsweg]
Generated description
Tamsweg is a market town in the Lungau region of Austria known as a local administrative and cultural center within the State of Salzburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tamsweg
Target entity description: Tamsweg is a market town in the Lungau region of Austria known as a local administrative and cultural center within the State of Salzburg.
  • A. Tureberg
    Tureberg is a central district in Sollentuna Municipality, Sweden, known for housing the municipal center and key public services.
  • B. Drensteinfurt
    Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
  • C. Lauterach
    Lauterach is a small municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its rural character and scenic Swabian Jura surroundings.
  • D. Rohrau
    Rohrau is a small Austrian village in Lower Austria best known as the birthplace of composer Joseph Haydn.
  • E. Neudorf
    Neudorf is a residential district of Strasbourg, France, known for its dense urban fabric, local commerce, and proximity to the city center.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65dce6888190a0b1bdf416fb62b9 completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43e8f9dc8190b4e932d179e2f097 completed March 21, 2026, 7:08 a.m.
NEDg Description generation batch_69be4603d32c819092c3c48a3ba41833 completed March 21, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_69be472cd6b88190bc998340ffd2b66e completed March 21, 2026, 7:22 a.m.
Created at: March 20, 2026, 1:22 p.m.