Triple

T17000124
Position Surface form Disambiguated ID Type / Status
Subject Rapperswil-Jona E412419 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Altendorf
Altendorf is a Swiss municipality in the canton of Schwyz, situated on the upper shores of Lake Zurich.
E1274221 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: Altendorf | Statement: [Rapperswil-Jona, hasNeighboringMunicipality, Altendorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altendorf
Context triple: [Rapperswil-Jona, hasNeighboringMunicipality, Altendorf]
  • A. Allendorf
    Allendorf is a village-level subdivision of the town of Sundern in the Hochsauerland district of North Rhine-Westphalia, Germany.
  • B. Aulendorf
    Aulendorf is a small town in the Upper Swabia region of southern Germany, known for its historic castle and spa facilities.
  • C. Adendorf
    Adendorf is a village-sized district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • D. Arnsdorf
    Arnsdorf is a small municipality in the German state of Saxony, known for its rural character and location near the city of Dresden.
  • E. Hägendorf
    Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
  • 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: Altendorf
Triple: [Rapperswil-Jona, hasNeighboringMunicipality, Altendorf]
Generated description
Altendorf is a Swiss municipality in the canton of Schwyz, situated on the upper shores of Lake Zurich.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Altendorf
Target entity description: Altendorf is a Swiss municipality in the canton of Schwyz, situated on the upper shores of Lake Zurich.
  • A. Allendorf
    Allendorf is a village-level subdivision of the town of Sundern in the Hochsauerland district of North Rhine-Westphalia, Germany.
  • B. Aulendorf
    Aulendorf is a small town in the Upper Swabia region of southern Germany, known for its historic castle and spa facilities.
  • C. Adendorf
    Adendorf is a village-sized district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • D. Arnsdorf
    Arnsdorf is a small municipality in the German state of Saxony, known for its rural character and location near the city of Dresden.
  • E. Hägendorf
    Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37d9f9081909aef52426d88940d completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01c927c7c4819091046c686600db9f completed May 11, 2026, 12:18 p.m.
NEDg Description generation batch_6a01cd5d88948190b347948b1f0584c0 completed May 11, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_6a01cdca32e08190aeae5315494f9ab3 completed May 11, 2026, 12:38 p.m.
Created at: April 10, 2026, 5:32 a.m.