Triple
T10804468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garraf |
E254927
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Canyelles
Canyelles is a small municipality in the Garraf comarca of Catalonia, Spain, known for its rural charm and surrounding natural landscapes.
|
E886656
|
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: Canyelles | Statement: [Garraf, contains, Canyelles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canyelles Context triple: [Garraf, contains, Canyelles]
-
A.
Marvejols
Marvejols is a historic town in southern France’s Lozère department, known for its medieval heritage and location near the Aubrac and Margeride regions.
-
B.
Canovelles
Canovelles is a municipality in Catalonia, Spain, situated within the broader urban and economic sphere of Barcelona.
-
C.
Balenyà
Balenyà is a municipality in the comarca of Osona in Catalonia, Spain, known for its rural character and proximity to the city of Vic.
-
D.
Canet-de-Salars
Canet-de-Salars is a small rural commune in the Aveyron department of southern France, known for its scenic lakeside setting and outdoor recreation.
-
E.
Martorelles
Martorelles is a small municipality in the Vallès Oriental comarca of Catalonia, Spain, known for its proximity to Barcelona and its mix of residential and industrial areas.
- 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: Canyelles Triple: [Garraf, contains, Canyelles]
Generated description
Canyelles is a small municipality in the Garraf comarca of Catalonia, Spain, known for its rural charm and surrounding natural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Canyelles Target entity description: Canyelles is a small municipality in the Garraf comarca of Catalonia, Spain, known for its rural charm and surrounding natural landscapes.
-
A.
Marvejols
Marvejols is a historic town in southern France’s Lozère department, known for its medieval heritage and location near the Aubrac and Margeride regions.
-
B.
Canovelles
Canovelles is a municipality in Catalonia, Spain, situated within the broader urban and economic sphere of Barcelona.
-
C.
Balenyà
Balenyà is a municipality in the comarca of Osona in Catalonia, Spain, known for its rural character and proximity to the city of Vic.
-
D.
Canet-de-Salars
Canet-de-Salars is a small rural commune in the Aveyron department of southern France, known for its scenic lakeside setting and outdoor recreation.
-
E.
Martorelles
Martorelles is a small municipality in the Vallès Oriental comarca of Catalonia, Spain, known for its proximity to Barcelona and its mix of residential and industrial areas.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73370e7388190885b104fc883456e |
completed | April 9, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de567a7ea0819088a2fa10f8367d89 |
completed | April 14, 2026, 3 p.m. |
| NEDg | Description generation | batch_69de5eaf3cc08190935cb6ddf2020166 |
completed | April 14, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de63a902f4819089845bc6d7469c6b |
completed | April 14, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:18 p.m.