Triple
T13679513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Saint-Gaudens |
E327961
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Ardiège
Ardiège is a small commune in southwestern France, located in the Haute-Garonne department within the Occitanie region.
|
E1080591
|
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: Ardiège | Statement: [canton of Saint-Gaudens, containsAdministrativeTerritorialEntity, Ardiège]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ardiège Context triple: [canton of Saint-Gaudens, containsAdministrativeTerritorialEntity, Ardiège]
-
A.
Cottévrard
Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
-
B.
Riorges
Riorges is a commune in central France, near Roanne in the Loire department, known for its residential character and local cultural life.
-
C.
Cère
Cère is a river in south-central France that flows through the Cantal department as a tributary of the Dordogne.
-
D.
Nassogne
Nassogne is a rural municipality and village in the Ardennes region of Belgium’s Luxembourg Province, known for its forests and traditional countryside.
-
E.
Creuse
Creuse is a rural department in central France known for its sparsely populated landscapes, traditional agriculture, and part of the historic Limousin region.
- 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: Ardiège Triple: [canton of Saint-Gaudens, containsAdministrativeTerritorialEntity, Ardiège]
Generated description
Ardiège is a small commune in southwestern France, located in the Haute-Garonne department within the Occitanie region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ardiège Target entity description: Ardiège is a small commune in southwestern France, located in the Haute-Garonne department within the Occitanie region.
-
A.
Cottévrard
Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
-
B.
Riorges
Riorges is a commune in central France, near Roanne in the Loire department, known for its residential character and local cultural life.
-
C.
Cère
Cère is a river in south-central France that flows through the Cantal department as a tributary of the Dordogne.
-
D.
Nassogne
Nassogne is a rural municipality and village in the Ardennes region of Belgium’s Luxembourg Province, known for its forests and traditional countryside.
-
E.
Creuse
Creuse is a rural department in central France known for its sparsely populated landscapes, traditional agriculture, and part of the historic Limousin region.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc66cbb088190907cb89dda8e4ebd |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd08852a08190b9983e0c3058671a |
completed | May 7, 2026, 5:48 p.m. |
| NEDg | Description generation | batch_69fcd4cc2f4c81909bd30cda58fc2393 |
completed | May 7, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd5c128c0819081edf72e25c6bc98 |
completed | May 7, 2026, 6:11 p.m. |
Created at: April 9, 2026, 9:53 p.m.