Triple

T12694452
Position Surface form Disambiguated ID Type / Status
Subject Vulaines-sur-Seine E303293 entity
Predicate hasDemonym P191 FINISHED
Object Vulaignotes
Vulaignotes are the inhabitants or natives of the French commune of Vulaines-sur-Seine in the Île-de-France region.
E998236 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: Vulaignotes | Statement: [Vulaines-sur-Seine, hasDemonym, Vulaignotes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vulaignotes
Context triple: [Vulaines-sur-Seine, hasDemonym, Vulaignotes]
  • A. Villénogarennoises
    Villénogarennoises are the female inhabitants or natives of the French commune of Villeneuve-la-Garenne.
  • B. Le Vigan
    Le Vigan is a historic market town in southern France that serves as one of the main gateways to the Cévennes mountain region.
  • C. Vexin français
    Vexin français is a historic rural region in northern France known for its picturesque landscapes, villages, and agricultural heritage, much of which is protected within a regional natural park.
  • D. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • E. Count of Vexin
    Count of Vexin was a French noble title historically associated with members of the royal Bourbon family, including Louis César de Bourbon, an illegitimate son of King Louis XIV.
  • 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: Vulaignotes
Triple: [Vulaines-sur-Seine, hasDemonym, Vulaignotes]
Generated description
Vulaignotes are the inhabitants or natives of the French commune of Vulaines-sur-Seine in the Île-de-France region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vulaignotes
Target entity description: Vulaignotes are the inhabitants or natives of the French commune of Vulaines-sur-Seine in the Île-de-France region.
  • A. Villénogarennoises
    Villénogarennoises are the female inhabitants or natives of the French commune of Villeneuve-la-Garenne.
  • B. Le Vigan
    Le Vigan is a historic market town in southern France that serves as one of the main gateways to the Cévennes mountain region.
  • C. Vexin français
    Vexin français is a historic rural region in northern France known for its picturesque landscapes, villages, and agricultural heritage, much of which is protected within a regional natural park.
  • D. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • E. Count of Vexin
    Count of Vexin was a French noble title historically associated with members of the royal Bourbon family, including Louis César de Bourbon, an illegitimate son of King Louis XIV.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ebd17081909f983567e4b36533 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671ae935c8190a7fc2cf3c0987248 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f6740129688190b286ce7acb4848c7 completed May 2, 2026, 10 p.m.
NED2 Entity disambiguation (via description) batch_69f675249d248190933421df49d3a2ab completed May 2, 2026, 10:05 p.m.
Created at: April 9, 2026, 5:22 p.m.