Triple

T9684359
Position Surface form Disambiguated ID Type / Status
Subject Glâne District E234366 entity
Predicate containsMunicipality P852 FINISHED
Object Seigneux
Seigneux is a small municipality in the canton of Fribourg in western Switzerland.
E815282 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: Seigneux | Statement: [Glâne District, containsMunicipality, Seigneux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seigneux
Context triple: [Glâne District, containsMunicipality, Seigneux]
  • A. Manceau
    Manceau is the French term used to refer to an inhabitant or native of the city of Le Mans.
  • B. Bourchier
    Bourchier is an English surname historically associated with a prominent noble family involved in British political and social life.
  • C. Chevalier de Paris
    Chevalier de Paris was a notable French performer and entertainer associated with the famed Parisian music hall scene.
  • D. Survilliers
    Survilliers is a commune in the Val-d'Oise department in northern France, known historically for lending its name to the noble title "Count of Survilliers."
  • E. Guignard
    Guignard was a prominent Brazilian painter and art educator known for his lyrical landscapes and significant influence on modern Brazilian art.
  • 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: Seigneux
Triple: [Glâne District, containsMunicipality, Seigneux]
Generated description
Seigneux is a small municipality in the canton of Fribourg in western Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seigneux
Target entity description: Seigneux is a small municipality in the canton of Fribourg in western Switzerland.
  • A. Manceau
    Manceau is the French term used to refer to an inhabitant or native of the city of Le Mans.
  • B. Bourchier
    Bourchier is an English surname historically associated with a prominent noble family involved in British political and social life.
  • C. Chevalier de Paris
    Chevalier de Paris was a notable French performer and entertainer associated with the famed Parisian music hall scene.
  • D. Survilliers
    Survilliers is a commune in the Val-d'Oise department in northern France, known historically for lending its name to the noble title "Count of Survilliers."
  • E. Guignard
    Guignard was a prominent Brazilian painter and art educator known for his lyrical landscapes and significant influence on modern Brazilian art.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ccf21a08190a1302b933b9e50be completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19106e67881909505287620d2f781 completed April 4, 2026, 10:30 p.m.
NEDg Description generation batch_69d19375fd8481909620e8e68d73ec17 completed April 4, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69d19416efd48190865d0178e5e893fa completed April 4, 2026, 10:43 p.m.
Created at: March 30, 2026, 8:16 p.m.