Triple
T13679514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Saint-Gaudens |
E327961
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Arnaud-Guilhem
Arnaud-Guilhem is a small commune in southwestern France, located in the Haute-Garonne department in the Occitanie region.
|
E1055494
|
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: Arnaud-Guilhem | Statement: [canton of Saint-Gaudens, containsAdministrativeTerritorialEntity, Arnaud-Guilhem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arnaud-Guilhem Context triple: [canton of Saint-Gaudens, containsAdministrativeTerritorialEntity, Arnaud-Guilhem]
-
A.
Arnaud
Arnaud is a small commune located in Haiti’s Nippes Department.
-
B.
Arnaud Decagny
Arnaud Decagny is a French local politician who serves as the mayor of the northern town of Maubeuge.
-
C.
Arnaud Vaillant
Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
-
D.
François Dagnaud
François Dagnaud is a French politician who has served as the mayor of Paris’s 19th arrondissement.
-
E.
François Arnaud
François Arnaud is a Canadian actor best known for his role as Cesare Borgia in the historical drama television series "The Borgias."
- 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: Arnaud-Guilhem Triple: [canton of Saint-Gaudens, containsAdministrativeTerritorialEntity, Arnaud-Guilhem]
Generated description
Arnaud-Guilhem is a small commune in southwestern France, located in the Haute-Garonne department in the Occitanie region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arnaud-Guilhem Target entity description: Arnaud-Guilhem is a small commune in southwestern France, located in the Haute-Garonne department in the Occitanie region.
-
A.
Arnaud
Arnaud is a small commune located in Haiti’s Nippes Department.
-
B.
Arnaud Decagny
Arnaud Decagny is a French local politician who serves as the mayor of the northern town of Maubeuge.
-
C.
Arnaud Vaillant
Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
-
D.
François Dagnaud
François Dagnaud is a French politician who has served as the mayor of Paris’s 19th arrondissement.
-
E.
François Arnaud
François Arnaud is a Canadian actor best known for his role as Cesare Borgia in the historical drama television series "The Borgias."
- 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_69f7944347a08190bc1386e78ddb3e71 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f79523bf608190addeca563bea132e |
completed | May 3, 2026, 6:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7965cc9f88190acbf232615a9e87b |
completed | May 3, 2026, 6:39 p.m. |
Created at: April 9, 2026, 9:53 p.m.