Triple

T13842589
Position Surface form Disambiguated ID Type / Status
Subject Esbly E332698 entity
Predicate hasDemonym P191 FINISHED
Object Esblygeoise
Esblygeoise is the French demonym referring to a female inhabitant or native of the town of Esbly in France.
 E1064304 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: Esblygeoise | Statement: [Esbly, hasDemonym, Esblygeoise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Esblygeoise
Context triple: [Esbly, hasDemonym, Esblygeoise]
  • A. Gallesio
    Gallesio was an Italian botanist and naturalist best known for his pioneering studies on fruit trees and plant classification in the early 19th century.
  • B. Caeroesi
    The Caeroesi were a small Belgic tribe of northeastern Gaul known from Julius Caesar’s accounts of the Gallic Wars.
  • C. Gyddanyzc
    Gyddanyzc is an early historical name for the Polish port city of Gdańsk on the Baltic Sea.
  • D. Bodéwadmi
    Bodéwadmi are an Algonquian-speaking Indigenous people of the Great Lakes region in North America, known in English as the Potawatomi.
  • E. Falaisiens
    Falaisiens are the inhabitants of the town of Falaise in the Calvados department of Normandy, France.
  • 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: Esblygeoise
Triple: [Esbly, hasDemonym, Esblygeoise]
Generated description
Esblygeoise is the French demonym referring to a female inhabitant or native of the town of Esbly in France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Esblygeoise
Target entity description: Esblygeoise is the French demonym referring to a female inhabitant or native of the town of Esbly in France.
  • A. Gallesio
    Gallesio was an Italian botanist and naturalist best known for his pioneering studies on fruit trees and plant classification in the early 19th century.
  • B. Caeroesi
    The Caeroesi were a small Belgic tribe of northeastern Gaul known from Julius Caesar’s accounts of the Gallic Wars.
  • C. Gyddanyzc
    Gyddanyzc is an early historical name for the Polish port city of Gdańsk on the Baltic Sea.
  • D. Bodéwadmi
    Bodéwadmi are an Algonquian-speaking Indigenous people of the Great Lakes region in North America, known in English as the Potawatomi.
  • E. Falaisiens
    Falaisiens are the inhabitants of the town of Falaise in the Calvados department of Normandy, France.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02afce788190a74dce4e6a3569fa completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f87c188190b90faf7678cb9ad4 completed May 3, 2026, 9:07 p.m.
NEDg Description generation batch_69f7b9da1f848190a0c7e8d8a2b0954d completed May 3, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7bbf47c888190be32a4105903120a completed May 3, 2026, 9:19 p.m.
Created at: April 9, 2026, 10:13 p.m.