Triple
T13506182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Saint-Julien-en-Genevois |
E321019
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Feigères
Feigères is a small French commune in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
|
E1045833
|
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: Feigères | Statement: [arrondissement of Saint-Julien-en-Genevois, contains, Feigères]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feigères Context triple: [arrondissement of Saint-Julien-en-Genevois, contains, Feigères]
-
A.
Les Ferres
Les Ferres is a small rural commune in the Alpes-Maritimes department of southeastern France, situated in the Provence-Alpes-Côte d’Azur region.
-
B.
Fallières
Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
-
C.
Fargues
Fargues is a commune in the Sauternes wine-growing region of southwestern France, renowned for its prestigious sweet white wines.
-
D.
Fräschels
Fräschels is a small municipality in the canton of Fribourg in western Switzerland, situated near the linguistic border between German- and French-speaking regions.
-
E.
Garmes
Garmes is a surname most notably associated with Lee Garmes, an influential American cinematographer of Hollywood’s classic era.
- 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: Feigères Triple: [arrondissement of Saint-Julien-en-Genevois, contains, Feigères]
Generated description
Feigères is a small French commune in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Feigères Target entity description: Feigères is a small French commune in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
-
A.
Les Ferres
Les Ferres is a small rural commune in the Alpes-Maritimes department of southeastern France, situated in the Provence-Alpes-Côte d’Azur region.
-
B.
Fallières
Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
-
C.
Fargues
Fargues is a commune in the Sauternes wine-growing region of southwestern France, renowned for its prestigious sweet white wines.
-
D.
Fräschels
Fräschels is a small municipality in the canton of Fribourg in western Switzerland, situated near the linguistic border between German- and French-speaking regions.
-
E.
Garmes
Garmes is a surname most notably associated with Lee Garmes, an influential American cinematographer of Hollywood’s classic era.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf8259a08190ada13c4a3078f07d |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7548bc188819090773db66b0103a1 |
completed | May 3, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69f758a55ddc81909298a37f6ce88236 |
completed | May 3, 2026, 2:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7593d74cc819099c5d39ae09c3f70 |
completed | May 3, 2026, 2:18 p.m. |
Created at: April 9, 2026, 9:43 p.m.