Triple

T17455416
Position Surface form Disambiguated ID Type / Status
Subject City of Uri E425014 entity
Predicate partOf P40 FINISHED
Object Waldstätte
Waldstätte is a historical region in central Switzerland comprising several founding cantons of the Old Swiss Confederacy, including Uri.
E1269248 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: Waldstätte | Statement: [City of Uri, partOf, Waldstätte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waldstätte
Context triple: [City of Uri, partOf, Waldstätte]
  • A. Waldstatt
    Waldstatt is a small Swiss municipality located in the canton of Appenzell Ausserrhoden.
  • B. Alstätte
    Alstätte is a village and district of the town of Ahaus in the Münsterland region of North Rhine-Westphalia, Germany.
  • C. Finsterwald
    Finsterwald is a forested area or locality that forms part of the Bavarian town of Gmund am Tegernsee in southern Germany.
  • D. Biedenkopf
    Biedenkopf is a small historic town in the German state of Hesse, known for its medieval old town and hilltop castle.
  • E. Steinwiesen
    Steinwiesen is a small municipality in northern Bavaria, Germany, known for its location in the Franconian Forest and its traditional rural 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: Waldstätte
Triple: [City of Uri, partOf, Waldstätte]
Generated description
Waldstätte is a historical region in central Switzerland comprising several founding cantons of the Old Swiss Confederacy, including Uri.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Waldstätte
Target entity description: Waldstätte is a historical region in central Switzerland comprising several founding cantons of the Old Swiss Confederacy, including Uri.
  • A. Waldstatt
    Waldstatt is a small Swiss municipality located in the canton of Appenzell Ausserrhoden.
  • B. Alstätte
    Alstätte is a village and district of the town of Ahaus in the Münsterland region of North Rhine-Westphalia, Germany.
  • C. Finsterwald
    Finsterwald is a forested area or locality that forms part of the Bavarian town of Gmund am Tegernsee in southern Germany.
  • D. Biedenkopf
    Biedenkopf is a small historic town in the German state of Hesse, known for its medieval old town and hilltop castle.
  • E. Steinwiesen
    Steinwiesen is a small municipality in northern Bavaria, Germany, known for its location in the Franconian Forest and its traditional rural 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45141e1d48190b7de9159f1fd71fa completed April 19, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01affed0908190a1bf9ac851485d1a completed May 11, 2026, 10:31 a.m.
NEDg Description generation batch_6a01b0a265348190a884a58f3caf54df completed May 11, 2026, 10:34 a.m.
NED2 Entity disambiguation (via description) batch_6a01b1b0553c8190bb76969fe95154ff completed May 11, 2026, 10:38 a.m.
Created at: April 10, 2026, 5:47 a.m.