Triple

T1839124
Position Surface form Disambiguated ID Type / Status
Subject Inn E41132 entity
Predicate flowsThrough P225 FINISHED
Object Mühldorf am Inn
Mühldorf am Inn is a historic Bavarian town in southeastern Germany situated along the River Inn.
E215119 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: Mühldorf am Inn | Statement: [Inn, flowsThrough, Mühldorf am Inn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mühldorf am Inn
Context triple: [Inn, flowsThrough, Mühldorf am Inn]
  • A. Heidenheim an der Brenz
    Heidenheim an der Brenz is a town in the German state of Baden-Württemberg known for its industrial heritage, historic castle Hellenstein, and location on the Brenz River near the Swabian Jura.
  • B. Simbach am Inn
    Simbach am Inn is a Bavarian town in southeastern Germany situated on the River Inn directly across from the Austrian town of Braunau am Inn.
  • C. Schmölln
    Schmölln is a small town in the German state of Thuringia, known for its historic center and role as a local economic and cultural hub.
  • D. Schwandorf
    Schwandorf is a town in the Upper Palatinate region of Bavaria, Germany, known as a local administrative and commercial center on the Naab River.
  • E. Pöcking
    Pöcking is a municipality in Bavaria, Germany, located on the western shore of Lake Starnberg and known for its affluent residential character.
  • 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: Mühldorf am Inn
Triple: [Inn, flowsThrough, Mühldorf am Inn]
Generated description
Mühldorf am Inn is a historic Bavarian town in southeastern Germany situated along the River Inn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mühldorf am Inn
Target entity description: Mühldorf am Inn is a historic Bavarian town in southeastern Germany situated along the River Inn.
  • A. Heidenheim an der Brenz
    Heidenheim an der Brenz is a town in the German state of Baden-Württemberg known for its industrial heritage, historic castle Hellenstein, and location on the Brenz River near the Swabian Jura.
  • B. Simbach am Inn
    Simbach am Inn is a Bavarian town in southeastern Germany situated on the River Inn directly across from the Austrian town of Braunau am Inn.
  • C. Schmölln
    Schmölln is a small town in the German state of Thuringia, known for its historic center and role as a local economic and cultural hub.
  • D. Schwandorf
    Schwandorf is a town in the Upper Palatinate region of Bavaria, Germany, known as a local administrative and commercial center on the Naab River.
  • E. Pöcking
    Pöcking is a municipality in Bavaria, Germany, located on the western shore of Lake Starnberg and known for its affluent residential character.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb03b3eb08190ae68d8476fc89c7f completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3c5acb88190aef46483b3318431 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf4a146988190aac81580839b1bd5 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf4f7c908819089ccdc881af10da9 completed March 8, 2026, 10:15 p.m.
Created at: March 4, 2026, 7:33 p.m.