Triple

T20861839
Position Surface form Disambiguated ID Type / Status
Subject Dieuze E513638 entity
Predicate hasDemonym P191 FINISHED
Object Dieuzoise
Dieuzoise is the French demonym referring to a female inhabitant or native of the town of Dieuze in northeastern France.
 E1454262 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: Dieuzoise | Statement: [Dieuze, hasDemonym, Dieuzoise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dieuzoise
Context triple: [Dieuze, hasDemonym, Dieuzoise]
  • A. La Teuse
    La Teuse is a devout, sharp-tongued housekeeper and maternal figure who plays a key supporting role in Émile Zola’s novel "La Faute de l’Abbé Mouret."
  • B. Flône
    Flône is a village that forms one of the municipal sections of the town of Amay in the province of Liège, Belgium.
  • C. Sauldre
    Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
  • D. Gouët
    Gouët is a river in the Côtes-d'Armor department of Brittany in northwestern France.
  • E. Ougrée
    Ougrée is a town in the Walloon region of Belgium that forms a sub-municipality of the industrial city of Seraing in the province of Liège.
  • 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: Dieuzoise
Triple: [Dieuze, hasDemonym, Dieuzoise]
Generated description
Dieuzoise is the French demonym referring to a female inhabitant or native of the town of Dieuze in northeastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dieuzoise
Target entity description: Dieuzoise is the French demonym referring to a female inhabitant or native of the town of Dieuze in northeastern France.
  • A. La Teuse
    La Teuse is a devout, sharp-tongued housekeeper and maternal figure who plays a key supporting role in Émile Zola’s novel "La Faute de l’Abbé Mouret."
  • B. Flône
    Flône is a village that forms one of the municipal sections of the town of Amay in the province of Liège, Belgium.
  • C. Sauldre
    Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
  • D. Gouët
    Gouët is a river in the Côtes-d'Armor department of Brittany in northwestern France.
  • E. Ougrée
    Ougrée is a town in the Walloon region of Belgium that forms a sub-municipality of the industrial city of Seraing in the province of Liège.
  • 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3ad3d1c8190be2fe35a85f2447c completed April 21, 2026, 12:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090b0f5c088190a2db09ce9ecbfcc3 completed May 17, 2026, 12:25 a.m.
NEDg Description generation batch_6a090bc252dc8190a96a98b2160826b5 completed May 17, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_6a090cc818b4819089ed588d3e460aa2 completed May 17, 2026, 12:33 a.m.
Created at: April 16, 2026, 12:44 p.m.