Triple

T12586558
Position Surface form Disambiguated ID Type / Status
Subject Abitibi-Témiscamingue E300477 entity
Predicate containsCity P294 FINISHED
Object La Sarre
La Sarre is a small town in western Quebec, Canada, known as a regional service and agricultural center near the Ontario border.
 E992654 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: La Sarre | Statement: [Abitibi-Témiscamingue, containsCity, La Sarre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Sarre
Context triple: [Abitibi-Témiscamingue, containsCity, La Sarre]
  • A. Saar
    Saar was a short-lived postwar German protectorate that competed independently in international events, including the Olympics, before rejoining West Germany.
  • B. Saar
    The Saar is a river in western Europe that flows through northeastern France and western Germany, giving its name to the German state of Saarland.
  • C. Vallée
    Vallée is a French surname most notably associated with acclaimed Canadian film director and screenwriter Jean-Marc Vallée.
  • D. Randogne
    Randogne is a former Swiss municipality in the canton of Valais that later became part of the resort area of Crans-Montana.
  • E. Colline
    Colline is the philosophical and kind-hearted bohemian friend in Puccini’s opera *La Bohème*, known for his poignant farewell to his overcoat.
  • 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: La Sarre
Triple: [Abitibi-Témiscamingue, containsCity, La Sarre]
Generated description
La Sarre is a small town in western Quebec, Canada, known as a regional service and agricultural center near the Ontario border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Sarre
Target entity description: La Sarre is a small town in western Quebec, Canada, known as a regional service and agricultural center near the Ontario border.
  • A. Saar
    Saar was a short-lived postwar German protectorate that competed independently in international events, including the Olympics, before rejoining West Germany.
  • B. Saar
    The Saar is a river in western Europe that flows through northeastern France and western Germany, giving its name to the German state of Saarland.
  • C. Vallée
    Vallée is a French surname most notably associated with acclaimed Canadian film director and screenwriter Jean-Marc Vallée.
  • D. Randogne
    Randogne is a former Swiss municipality in the canton of Valais that later became part of the resort area of Crans-Montana.
  • E. Colline
    Colline is the philosophical and kind-hearted bohemian friend in Puccini’s opera *La Bohème*, known for his poignant farewell to his overcoat.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bbe72c8190aa11090bb6b480c9 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ebed164819083fbdaa775a59cd4 completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f66088890c8190b67a958d7f0822a6 completed May 2, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_69f6613ce1108190851cf8491fe666c8 completed May 2, 2026, 8:40 p.m.
Created at: April 9, 2026, 5:05 p.m.