Triple

T6869116
Position Surface form Disambiguated ID Type / Status
Subject Flachgau E158492 entity
Predicate contains P35 FINISHED
Object Wallersee
Wallersee is a scenic lake in the Austrian state of Salzburg, popular for recreation and nature activities.
 E625338 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: Wallersee | Statement: [Flachgau, contains, Wallersee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wallersee
Context triple: [Flachgau, contains, Wallersee]
  • A. Wiesener
    Wiesener is a surname, likely of German origin, that serves as a variant spelling of the name Wiesner.
  • B. Traun
    Traun is a town in the Austrian state of Upper Austria, located near Linz along the Traun River and known as a residential and industrial suburb of the regional capital.
  • C. Attersee
    Attersee is a large, clear alpine lake in Upper Austria known for its scenic beauty, sailing, and diving opportunities.
  • D. Wörthersee
    Wörthersee is a popular alpine lake in southern Austria known for its warm, turquoise waters and surrounding resort towns.
  • E. Währing
    Währing is a residential district in Vienna, Austria, known for its historic cemeteries, green spaces, and late 19th-century urban architecture.
  • 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: Wallersee
Triple: [Flachgau, contains, Wallersee]
Generated description
Wallersee is a scenic lake in the Austrian state of Salzburg, popular for recreation and nature activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wallersee
Target entity description: Wallersee is a scenic lake in the Austrian state of Salzburg, popular for recreation and nature activities.
  • A. Wiesener
    Wiesener is a surname, likely of German origin, that serves as a variant spelling of the name Wiesner.
  • B. Traun
    Traun is a town in the Austrian state of Upper Austria, located near Linz along the Traun River and known as a residential and industrial suburb of the regional capital.
  • C. Attersee
    Attersee is a large, clear alpine lake in Upper Austria known for its scenic beauty, sailing, and diving opportunities.
  • D. Wörthersee
    Wörthersee is a popular alpine lake in southern Austria known for its warm, turquoise waters and surrounding resort towns.
  • E. Währing
    Währing is a residential district in Vienna, Austria, known for its historic cemeteries, green spaces, and late 19th-century urban architecture.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8a916a88190b81551731dff2898 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74299ae148190a56c7b1ee8829f40 completed March 28, 2026, 2:53 a.m.
NEDg Description generation batch_69c743a639f88190a0758194433322bf completed March 28, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_69c7445fbd488190938ec3dd59cbeb2c completed March 28, 2026, 3 a.m.
Created at: March 27, 2026, 2:22 p.m.