Triple

T5369423
Position Surface form Disambiguated ID Type / Status
Subject Lake Murten E108809 entity
Predicate nearbyCity P350 FINISHED
Object Avenches
Avenches is a historic town in western Switzerland, known for its well-preserved Roman ruins and amphitheater.
 E515695 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: Avenches | Statement: [Lake Murten, nearbyCity, Avenches]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Avenches
Context triple: [Lake Murten, nearbyCity, Avenches]
  • A. Léognan
    Léognan is a renowned wine-producing commune in southwestern France, celebrated for its prestigious red and white Bordeaux wines.
  • B. Embrun
    Embrun is a historic town in southeastern France’s Hautes-Alpes department, known for its picturesque setting in the Alps and proximity to the Lac de Serre-Ponçon.
  • C. Embrun
    Embrun is a rapidly growing Franco-Ontarian community in eastern Ontario, known for its bilingual character and proximity to Ottawa.
  • D. Chevenez
    Chevenez is a village in the Ajoie region of the canton of Jura in northwestern Switzerland.
  • E. La Sarraz
    La Sarraz is a small town in the canton of Vaud, Switzerland, known for its historic castle and role as a cultural and intellectual meeting place.
  • 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: Avenches
Triple: [Lake Murten, nearbyCity, Avenches]
Generated description
Avenches is a historic town in western Switzerland, known for its well-preserved Roman ruins and amphitheater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Avenches
Target entity description: Avenches is a historic town in western Switzerland, known for its well-preserved Roman ruins and amphitheater.
  • A. Léognan
    Léognan is a renowned wine-producing commune in southwestern France, celebrated for its prestigious red and white Bordeaux wines.
  • B. Embrun
    Embrun is a historic town in southeastern France’s Hautes-Alpes department, known for its picturesque setting in the Alps and proximity to the Lac de Serre-Ponçon.
  • C. Embrun
    Embrun is a rapidly growing Franco-Ontarian community in eastern Ontario, known for its bilingual character and proximity to Ottawa.
  • D. Chevenez
    Chevenez is a village in the Ajoie region of the canton of Jura in northwestern Switzerland.
  • E. La Sarraz
    La Sarraz is a small town in the canton of Vaud, Switzerland, known for its historic castle and role as a cultural and intellectual meeting place.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86873e0c8190bf5ecede2cc2bd8b completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf292c4d1c819088f7b977ac212688 completed March 21, 2026, 11:26 p.m.
NEDg Description generation batch_69bf29d11d2c819095ce493c8866f624 completed March 21, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69bf2aa2a1688190bc41eb5e259d7d1f completed March 21, 2026, 11:32 p.m.
Created at: March 20, 2026, 2:02 p.m.