Triple

T16132176
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Mende E391424 entity
Predicate contains P35 FINISHED
Object La Tieule
La Tieule is a small commune in the Lozère department of southern France, situated within the arrondissement of Mende.
 E1195328 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 Tieule | Statement: [arrondissement of Mende, contains, La Tieule]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Tieule
Context triple: [arrondissement of Mende, contains, La Tieule]
  • A. Tilleur
    Tilleur is a district of the Belgian municipality of Saint-Nicolas in the province of Liège, known historically for its industrial and steelmaking activities.
  • B. Thieux
    Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • C. Tignère
    Tignère is a town and commune located in Cameroon's Adamawa Region, known for its highland setting and role as a local administrative and trading center.
  • D. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • E. Le Guignon
    Le Guignon is a poem by French writer Charles Baudelaire, included among his early poetic works.
  • 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 Tieule
Triple: [arrondissement of Mende, contains, La Tieule]
Generated description
La Tieule is a small commune in the Lozère department of southern France, situated within the arrondissement of Mende.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Tieule
Target entity description: La Tieule is a small commune in the Lozère department of southern France, situated within the arrondissement of Mende.
  • A. Tilleur
    Tilleur is a district of the Belgian municipality of Saint-Nicolas in the province of Liège, known historically for its industrial and steelmaking activities.
  • B. Thieux
    Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • C. Tignère
    Tignère is a town and commune located in Cameroon's Adamawa Region, known for its highland setting and role as a local administrative and trading center.
  • D. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • E. Le Guignon
    Le Guignon is a poem by French writer Charles Baudelaire, included among his early poetic works.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a02172c8190978f7951ccd80928 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b1b7248190a1bba4a87db8318b completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff3478bfc8190bbcc0afbf6dbb089 completed May 10, 2026, 2:53 a.m.
NED2 Entity disambiguation (via description) batch_69fff3d29f50819093a9355d016f48dd completed May 10, 2026, 2:56 a.m.
Created at: April 10, 2026, 5:01 a.m.