Triple
T22993855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fontenay-aux-Roses |
E572128
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Fontenaisienne
Fontenaisienne is the French term for a female inhabitant or native of the town of Fontenay-aux-Roses in the Île-de-France region.
|
E1565185
|
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: Fontenaisienne | Statement: [Fontenay-aux-Roses, hasDemonym, Fontenaisienne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fontenaisienne Context triple: [Fontenay-aux-Roses, hasDemonym, Fontenaisienne]
-
A.
Longuyonnais
Longuyonnais is the French demonym for inhabitants of the commune of Longuyon in northeastern France.
-
B.
Fontenais
Fontenais is a municipality in the canton of Jura in northwestern Switzerland, situated in the Ajoie region near the town of Porrentruy.
-
C.
Morisyen
Morisyen is the French-based Creole language widely spoken in Mauritius and used as a key marker of the island’s national identity.
-
D.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
E.
Civraisienne
Civraisienne is the French demonym referring to a female inhabitant or native of the town of Civray.
- 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: Fontenaisienne Triple: [Fontenay-aux-Roses, hasDemonym, Fontenaisienne]
Generated description
Fontenaisienne is the French term for a female inhabitant or native of the town of Fontenay-aux-Roses in the Île-de-France region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fontenaisienne Target entity description: Fontenaisienne is the French term for a female inhabitant or native of the town of Fontenay-aux-Roses in the Île-de-France region.
-
A.
Longuyonnais
Longuyonnais is the French demonym for inhabitants of the commune of Longuyon in northeastern France.
-
B.
Fontenais
Fontenais is a municipality in the canton of Jura in northwestern Switzerland, situated in the Ajoie region near the town of Porrentruy.
-
C.
Morisyen
Morisyen is the French-based Creole language widely spoken in Mauritius and used as a key marker of the island’s national identity.
-
D.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
E.
Civraisienne
Civraisienne is the French demonym referring to a female inhabitant or native of the town of Civray.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f1940c8190a5645ee8d8e5e063 |
completed | April 29, 2026, 4:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bd37cd30c8190ae2fa99f18b59b94 |
completed | May 19, 2026, 3:05 a.m. |
| NEDg | Description generation | batch_6a0bd43af7948190886a30522f3b6c8a |
completed | May 19, 2026, 3:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bd503b1588190979b9895327a3475 |
completed | May 19, 2026, 3:12 a.m. |
Created at: April 17, 2026, 3:50 p.m.