Triple

T20510697
Position Surface form Disambiguated ID Type / Status
Subject Saint-Amand-les-Eaux E503549 entity
Predicate hasDemonym P191 FINISHED
Object Amandinois
Amandinois is the French demonym for inhabitants of the town of Saint-Amand-les-Eaux in northern France.
E1435433 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: Amandinois | Statement: [Saint-Amand-les-Eaux, hasDemonym, Amandinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amandinois
Context triple: [Saint-Amand-les-Eaux, hasDemonym, Amandinois]
  • A. Avranchinais
    Avranchinais is the French term for an inhabitant or native of the town of Avranches in Normandy.
  • B. Raverdinois
    Raverdinois are the inhabitants or natives of the commune of Varreddes in France.
  • C. Alagnon
    Alagnon is a river in central France that flows through the Massif Central before joining the Allier River.
  • D. Auberjonois
    Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
  • E. Morisyen
    Morisyen is the French-based Creole language widely spoken in Mauritius and used as a key marker of the island’s national identity.
  • 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: Amandinois
Triple: [Saint-Amand-les-Eaux, hasDemonym, Amandinois]
Generated description
Amandinois is the French demonym for inhabitants of the town of Saint-Amand-les-Eaux in northern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amandinois
Target entity description: Amandinois is the French demonym for inhabitants of the town of Saint-Amand-les-Eaux in northern France.
  • A. Avranchinais
    Avranchinais is the French term for an inhabitant or native of the town of Avranches in Normandy.
  • B. Raverdinois
    Raverdinois are the inhabitants or natives of the commune of Varreddes in France.
  • C. Alagnon
    Alagnon is a river in central France that flows through the Massif Central before joining the Allier River.
  • D. Auberjonois
    Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
  • E. Morisyen
    Morisyen is the French-based Creole language widely spoken in Mauritius and used as a key marker of the island’s national identity.
  • 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dcab8248190992e6ada23e5f253 completed April 20, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a089d36f4688190a084267f85744cc0 completed May 16, 2026, 4:37 p.m.
NEDg Description generation batch_6a089de26d548190882d6685aaa7f5fa completed May 16, 2026, 4:40 p.m.
NED2 Entity disambiguation (via description) batch_6a089e5c696881909d1d793b884464a1 completed May 16, 2026, 4:42 p.m.
Created at: April 16, 2026, 11:36 a.m.