Triple

T1890406
Position Surface form Disambiguated ID Type / Status
Subject Starnberger See E41860 entity
Predicate hasShoreSettlement P16159 FINISHED
Object Possenhofen
Possenhofen is a lakeside village in Bavaria, Germany, best known for its historic castle and its association with Empress Elisabeth of Austria ("Sisi").
E235838 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: Possenhofen | Statement: [Starnberger See, hasShoreSettlement, Possenhofen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Possenhofen
Context triple: [Starnberger See, hasShoreSettlement, Possenhofen]
  • A. Bernau am Chiemsee
    Bernau am Chiemsee is a Bavarian lakeside municipality in southern Germany known as a popular gateway to the Chiemsee and the surrounding Alpine foothills.
  • B. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • C. Essling
    Essling is a village near Vienna, Austria, historically notable as one of the sites of the 1809 Battle of Aspern-Essling during the Napoleonic Wars.
  • D. Oberwallenstadt
    Oberwallenstadt is a village and district of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • E. 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.
  • 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: Possenhofen
Triple: [Starnberger See, hasShoreSettlement, Possenhofen]
Generated description
Possenhofen is a lakeside village in Bavaria, Germany, best known for its historic castle and its association with Empress Elisabeth of Austria ("Sisi").
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Possenhofen
Target entity description: Possenhofen is a lakeside village in Bavaria, Germany, best known for its historic castle and its association with Empress Elisabeth of Austria ("Sisi").
  • A. Bernau am Chiemsee
    Bernau am Chiemsee is a Bavarian lakeside municipality in southern Germany known as a popular gateway to the Chiemsee and the surrounding Alpine foothills.
  • B. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • C. Essling
    Essling is a village near Vienna, Austria, historically notable as one of the sites of the 1809 Battle of Aspern-Essling during the Napoleonic Wars.
  • D. Oberwallenstadt
    Oberwallenstadt is a village and district of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • E. 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.
  • 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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb14475448190b291ada3454bf98b completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae516ffd088190ae2c730e1caff8f6 completed March 9, 2026, 4:49 a.m.
NEDg Description generation batch_69ae5209ae40819095e02cafb8112a1f completed March 9, 2026, 4:52 a.m.
NED2 Entity disambiguation (via description) batch_69ae529375788190aead19ec0874f11e completed March 9, 2026, 4:54 a.m.
Created at: March 4, 2026, 7:34 p.m.