Triple

T2849755
Position Surface form Disambiguated ID Type / Status
Subject Seeland region E63063 entity
Predicate hasTown P847 FINISHED
Object Aarberg
Aarberg is a small historic town in the canton of Bern in Switzerland, known for its medieval center and distinctive wooden bridge over the Aare River.
E305856 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: Aarberg | Statement: [Seeland region, hasTown, Aarberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aarberg
Context triple: [Seeland region, hasTown, Aarberg]
  • A. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • B. Oberegg
    Oberegg is a Swiss municipality in the canton of Appenzell Innerrhoden, known for its rural landscape and location in the Appenzell region.
  • C. Thun
    Thun is a historic Swiss town in the canton of Bern, known for its medieval old town, lakeside setting on Lake Thun, and views of the surrounding Alps.
  • D. Veytaux
    Veytaux is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known for its scenic setting and proximity to the historic Château de Chillon.
  • E. Genthod
    Genthod is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
  • 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: Aarberg
Triple: [Seeland region, hasTown, Aarberg]
Generated description
Aarberg is a small historic town in the canton of Bern in Switzerland, known for its medieval center and distinctive wooden bridge over the Aare River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aarberg
Target entity description: Aarberg is a small historic town in the canton of Bern in Switzerland, known for its medieval center and distinctive wooden bridge over the Aare River.
  • A. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • B. Oberegg
    Oberegg is a Swiss municipality in the canton of Appenzell Innerrhoden, known for its rural landscape and location in the Appenzell region.
  • C. Thun
    Thun is a historic Swiss town in the canton of Bern, known for its medieval old town, lakeside setting on Lake Thun, and views of the surrounding Alps.
  • D. Veytaux
    Veytaux is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known for its scenic setting and proximity to the historic Château de Chillon.
  • E. Genthod
    Genthod is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf41ac24819087c5b72e3b84117c completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d81e76c8190aae5e6dd9b13e28b completed March 10, 2026, 1:32 p.m.
NEDg Description generation batch_69b021996bdc8190843be464e761b7a9 completed March 10, 2026, 1:50 p.m.
NED2 Entity disambiguation (via description) batch_69b0222eb4448190a9f731adbce78e01 completed March 10, 2026, 1:52 p.m.
Created at: March 6, 2026, 10:02 p.m.