Triple

T9398097
Position Surface form Disambiguated ID Type / Status
Subject Herrsching am Ammersee E226396 entity
Predicate hasLocalRiver P165 FINISHED
Object Kienbach
Kienbach is a small river in Bavaria, Germany, that flows through the municipality of Herrsching am Ammersee into Lake Ammersee.
E816032 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: Kienbach | Statement: [Herrsching am Ammersee, hasLocalRiver, Kienbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kienbach
Context triple: [Herrsching am Ammersee, hasLocalRiver, Kienbach]
  • A. Kaltenbach
    Kaltenbach is a small Austrian village and ski resort town in the Zillertal Valley, known for its access to the Hochzillertal-Hochfügen ski area.
  • B. Eschbach
    Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • C. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • D. Wahnbach
    Wahnbach is a small river in North Rhine-Westphalia, Germany, known for feeding the Wahnbach Dam and serving as a tributary of the Sieg.
  • E. Wielenbach
    Wielenbach is a small municipality in the Upper Bavarian region of Germany, situated within the district of Weilheim-Schongau.
  • 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: Kienbach
Triple: [Herrsching am Ammersee, hasLocalRiver, Kienbach]
Generated description
Kienbach is a small river in Bavaria, Germany, that flows through the municipality of Herrsching am Ammersee into Lake Ammersee.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kienbach
Target entity description: Kienbach is a small river in Bavaria, Germany, that flows through the municipality of Herrsching am Ammersee into Lake Ammersee.
  • A. Kaltenbach
    Kaltenbach is a small Austrian village and ski resort town in the Zillertal Valley, known for its access to the Hochzillertal-Hochfügen ski area.
  • B. Eschbach
    Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • C. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • D. Wahnbach
    Wahnbach is a small river in North Rhine-Westphalia, Germany, known for feeding the Wahnbach Dam and serving as a tributary of the Sieg.
  • E. Wielenbach
    Wielenbach is a small municipality in the Upper Bavarian region of Germany, situated within the district of Weilheim-Schongau.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51541020819097da2eb60be73760 completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f5997a48190b8a08c7aee12c90d completed April 4, 2026, 11:31 p.m.
NEDg Description generation batch_69d1a022efd48190b0206bbdf3d93b9e completed April 4, 2026, 11:34 p.m.
NED2 Entity disambiguation (via description) batch_69d1a09ae5b48190b4d0b01cd20ba140 completed April 4, 2026, 11:36 p.m.
Created at: March 30, 2026, 7:46 p.m.