Triple

T6672702
Position Surface form Disambiguated ID Type / Status
Subject Clos Lucé E151769 entity
Predicate formerName P65 FINISHED
Object Cloux
Cloux is the former name of Clos Lucé, the historic château in Amboise, France, best known as Leonardo da Vinci’s final residence.
 E611607 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: Cloux | Statement: [Clos Lucé, formerName, Cloux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cloux
Context triple: [Clos Lucé, formerName, Cloux]
  • A. Sombreffe
    Sombreffe is a municipality in the Walloon region of Belgium, historically notable for its proximity to key Napoleonic battlefields, including Ligny and Quatre Bras.
  • B. Lauzerte
    Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
  • C. Lalumière
    Lalumière is a French surname most notably borne by Catherine Lalumière, a prominent French politician and former European Parliament member.
  • D. Muriaux
    Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
  • E. Thieux
    Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • 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: Cloux
Triple: [Clos Lucé, formerName, Cloux]
Generated description
Cloux is the former name of Clos Lucé, the historic château in Amboise, France, best known as Leonardo da Vinci’s final residence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cloux
Target entity description: Cloux is the former name of Clos Lucé, the historic château in Amboise, France, best known as Leonardo da Vinci’s final residence.
  • A. Sombreffe
    Sombreffe is a municipality in the Walloon region of Belgium, historically notable for its proximity to key Napoleonic battlefields, including Ligny and Quatre Bras.
  • B. Lauzerte
    Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
  • C. Lalumière
    Lalumière is a French surname most notably borne by Catherine Lalumière, a prominent French politician and former European Parliament member.
  • D. Muriaux
    Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
  • E. Thieux
    Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0cb78b08190923685712cbba5d8 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f79f1718819098d8a6d08bf7f919 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f8b1e1f48190bc9058a8a21a4a62 completed March 27, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_69c6f9441d74819098f0639a29fdeb5e completed March 27, 2026, 9:40 p.m.
Created at: March 27, 2026, 2:03 p.m.