Triple

T20206954
Position Surface form Disambiguated ID Type / Status
Subject Bregenzer Ach E493376 entity
Predicate flowsThrough P225 FINISHED
Object Bezau
Bezau is a municipality in the Austrian state of Vorarlberg, known for its alpine setting in the Bregenzerwald region and traditional wooden architecture.
E1418333 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: Bezau | Statement: [Bregenzer Ach, flowsThrough, Bezau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bezau
Context triple: [Bregenzer Ach, flowsThrough, Bezau]
  • A. Booué
    Booué is a small town in central Gabon situated along the Ogooué River, known as a local transport and trading hub in the region.
  • B. Finnebach
    Finnebach is a small river in Germany that serves as a tributary of the Unstrut.
  • C. Beaujeu
    Beaujeu is the pseudonym of Jean Monceau, under which he is known in his professional and public activities.
  • D. Begna
    Begna is a river in southeastern Norway that flows through the region of Ringerike and is known for its role in local hydropower production and freshwater ecosystems.
  • E. Cherain
    Cherain is a small village in the municipality of Gouvy in the province of Luxembourg, Belgium.
  • 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: Bezau
Triple: [Bregenzer Ach, flowsThrough, Bezau]
Generated description
Bezau is a municipality in the Austrian state of Vorarlberg, known for its alpine setting in the Bregenzerwald region and traditional wooden architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bezau
Target entity description: Bezau is a municipality in the Austrian state of Vorarlberg, known for its alpine setting in the Bregenzerwald region and traditional wooden architecture.
  • A. Booué
    Booué is a small town in central Gabon situated along the Ogooué River, known as a local transport and trading hub in the region.
  • B. Finnebach
    Finnebach is a small river in Germany that serves as a tributary of the Unstrut.
  • C. Beaujeu
    Beaujeu is the pseudonym of Jean Monceau, under which he is known in his professional and public activities.
  • D. Begna
    Begna is a river in southeastern Norway that flows through the region of Ringerike and is known for its role in local hydropower production and freshwater ecosystems.
  • E. Cherain
    Cherain is a small village in the municipality of Gouvy in the province of Luxembourg, Belgium.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d934f808190bbfeb96f5bf2dfb9 completed April 20, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0843eeb37881908e906fb27096794f completed May 16, 2026, 10:16 a.m.
NEDg Description generation batch_6a0844b2ef688190908b9ad5cf554907 completed May 16, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0845e241048190ba7fb657d4dca3d7 completed May 16, 2026, 10:24 a.m.
Created at: April 11, 2026, 11:38 p.m.