Triple

T14647092
Position Surface form Disambiguated ID Type / Status
Subject Scionzier E343877 entity
Predicate hasDemonym P191 FINISHED
Object Scionzieraine
Scionzieraine is the French demonym for an inhabitant or native of the commune of Scionzier in the Haute-Savoie department.
 E1111878 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: Scionzieraine | Statement: [Scionzier, hasDemonym, Scionzieraine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Scionzieraine
Context triple: [Scionzier, hasDemonym, Scionzieraine]
  • A. Sciorra
    Sciorra is the surname of Annabella Sciorra, an American actress known for her roles in films like "Jungle Fever" and the television series "The Sopranos."
  • B. Rabaut
    Rabaut is a French surname most notably associated with the revolutionary-era politician and Protestant pastor Jean-Paul Rabaut Saint-Étienne.
  • C. Mariani
    Mariani is a town in Assam, India, known as a key railway hub in the region.
  • D. Yarshater
    Yarshater is the surname of Ehsan Yarshater, a prominent Iranian historian and founding editor of the Encyclopaedia Iranica.
  • E. Quincee
    Quincee is a given name that functions as a modern spelling variant of the name Quincy.
  • 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: Scionzieraine
Triple: [Scionzier, hasDemonym, Scionzieraine]
Generated description
Scionzieraine is the French demonym for an inhabitant or native of the commune of Scionzier in the Haute-Savoie department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Scionzieraine
Target entity description: Scionzieraine is the French demonym for an inhabitant or native of the commune of Scionzier in the Haute-Savoie department.
  • A. Sciorra
    Sciorra is the surname of Annabella Sciorra, an American actress known for her roles in films like "Jungle Fever" and the television series "The Sopranos."
  • B. Rabaut
    Rabaut is a French surname most notably associated with the revolutionary-era politician and Protestant pastor Jean-Paul Rabaut Saint-Étienne.
  • C. Mariani
    Mariani is a town in Assam, India, known as a key railway hub in the region.
  • D. Yarshater
    Yarshater is the surname of Ehsan Yarshater, a prominent Iranian historian and founding editor of the Encyclopaedia Iranica.
  • E. Quincee
    Quincee is a given name that functions as a modern spelling variant of the name Quincy.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4ebe8048190a2935d00c9cfd8be completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d7915c8190ae690810110c0b60 completed May 8, 2026, 12:23 p.m.
NEDg Description generation batch_69fdd79da64c8190b6ab426b2808e23f completed May 8, 2026, 12:31 p.m.
NED2 Entity disambiguation (via description) batch_69fdd85637148190a69211e72b1230d9 completed May 8, 2026, 12:34 p.m.
Created at: April 10, 2026, 1:26 a.m.