Triple
T13842588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esbly |
E332698
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Esblygeois
Esblygeois are the inhabitants or natives of the commune of Esbly in the Île-de-France region of France.
|
E1064303
|
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: Esblygeois | Statement: [Esbly, hasDemonym, Esblygeois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esblygeois Context triple: [Esbly, hasDemonym, Esblygeois]
-
A.
Beurnevésin
Beurnevésin is a small municipality in the canton of Jura in northwestern Switzerland, near the French border.
-
B.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
C.
Creillois
Creillois is the French term for inhabitants of the town of Creil in northern France.
-
D.
Saint-Germanois
Saint-Germanois is the French demonym for inhabitants of the town of Saint-Germain-en-Laye, located in the western suburbs of Paris.
-
E.
Langrois
Langrois is the French term for an inhabitant or native of the town of Langres in northeastern 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: Esblygeois Triple: [Esbly, hasDemonym, Esblygeois]
Generated description
Esblygeois are the inhabitants or natives of the commune of Esbly in the Île-de-France region of France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Esblygeois Target entity description: Esblygeois are the inhabitants or natives of the commune of Esbly in the Île-de-France region of France.
-
A.
Beurnevésin
Beurnevésin is a small municipality in the canton of Jura in northwestern Switzerland, near the French border.
-
B.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
C.
Creillois
Creillois is the French term for inhabitants of the town of Creil in northern France.
-
D.
Saint-Germanois
Saint-Germanois is the French demonym for inhabitants of the town of Saint-Germain-en-Laye, located in the western suburbs of Paris.
-
E.
Langrois
Langrois is the French term for an inhabitant or native of the town of Langres in northeastern 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.