Triple

T7291617
Position Surface form Disambiguated ID Type / Status
Subject Menzingen, Switzerland E164409 entity
Predicate locatedNear P294 FINISHED
Object Ägeri
Ägeri is a municipality in the canton of Zug in central Switzerland, known for its scenic Ägerisee (Lake Ägeri) and surrounding pre-Alpine landscape.
E654277 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: Ägeri | Statement: [Menzingen, Switzerland, locatedNear, Ägeri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ägeri
Context triple: [Menzingen, Switzerland, locatedNear, Ägeri]
  • A. Lönnbohm
    Lönnbohm is the original family name of the renowned Finnish poet and journalist Eino Leino.
  • B. Seskarö
    Seskarö is a Swedish island in the northern Baltic Sea known for its forests, beaches, and traditional fishing and forestry communities.
  • C. Ågotnes
    Ågotnes is a village and industrial hub on the island of Sotra in Vestland county, Norway.
  • D. Börje
    Börje is a masculine given name of Swedish origin, notably borne by the legendary ice hockey player Börje Salming.
  • E. Eidskog
    Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
  • 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: Ägeri
Triple: [Menzingen, Switzerland, locatedNear, Ägeri]
Generated description
Ägeri is a municipality in the canton of Zug in central Switzerland, known for its scenic Ägerisee (Lake Ägeri) and surrounding pre-Alpine landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ägeri
Target entity description: Ägeri is a municipality in the canton of Zug in central Switzerland, known for its scenic Ägerisee (Lake Ägeri) and surrounding pre-Alpine landscape.
  • A. Lönnbohm
    Lönnbohm is the original family name of the renowned Finnish poet and journalist Eino Leino.
  • B. Seskarö
    Seskarö is a Swedish island in the northern Baltic Sea known for its forests, beaches, and traditional fishing and forestry communities.
  • C. Ågotnes
    Ågotnes is a village and industrial hub on the island of Sotra in Vestland county, Norway.
  • D. Börje
    Börje is a masculine given name of Swedish origin, notably borne by the legendary ice hockey player Börje Salming.
  • E. Eidskog
    Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
  • 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb6e8f3881908628b3d41aad70c6 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db4c04108190aeaa482e93482d02 completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7dc30bfd48190aa5d188471a3741d completed March 28, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc87994c81908e8f719741b8f3c8 completed March 28, 2026, 1:49 p.m.
Created at: March 27, 2026, 3 p.m.