Triple

T18622223
Position Surface form Disambiguated ID Type / Status
Subject Louise of Savoy E455182 entity
Predicate deathPlace P21 FINISHED
Object Greux
Greux is a small commune in northeastern France, historically noted as the place where Louise of Savoy, mother of King Francis I, died.
 E1340240 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: Greux | Statement: [Louise of Savoy, deathPlace, Greux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Greux
Context triple: [Louise of Savoy, deathPlace, Greux]
  • A. Seytroux
    Seytroux is a small mountain village and commune in the Haute-Savoie department of southeastern France, situated in the Chablais region of the French Alps.
  • B. Rauxel
    Rauxel is a locality in western Germany that forms part of the industrial Ruhr region within the state of North Rhine-Westphalia.
  • C. Groslay
    Groslay is a small suburban commune in the Val-d'Oise department in northern France, forming part of the Paris metropolitan area.
  • D. Orléat
    Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
  • E. Grandcour
    Grandcour is a small municipality in the canton of Vaud in western Switzerland.
  • 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: Greux
Triple: [Louise of Savoy, deathPlace, Greux]
Generated description
Greux is a small commune in northeastern France, historically noted as the place where Louise of Savoy, mother of King Francis I, died.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Greux
Target entity description: Greux is a small commune in northeastern France, historically noted as the place where Louise of Savoy, mother of King Francis I, died.
  • A. Seytroux
    Seytroux is a small mountain village and commune in the Haute-Savoie department of southeastern France, situated in the Chablais region of the French Alps.
  • B. Rauxel
    Rauxel is a locality in western Germany that forms part of the industrial Ruhr region within the state of North Rhine-Westphalia.
  • C. Groslay
    Groslay is a small suburban commune in the Val-d'Oise department in northern France, forming part of the Paris metropolitan area.
  • D. Orléat
    Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
  • E. Grandcour
    Grandcour is a small municipality in the canton of Vaud in western Switzerland.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f020fa08190bd78d72182496b19 completed April 19, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a053246930c8190b4bbdbd619e6e808 completed May 14, 2026, 2:24 a.m.
NEDg Description generation batch_6a0533de8c8c8190953cfacd5d9fe0b5 completed May 14, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_6a0534a667508190bf2d32bc9894874f completed May 14, 2026, 2:34 a.m.
Created at: April 10, 2026, 11:46 a.m.