Triple
T13239259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gironès |
E315236
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bescanó
Bescanó is a municipality in the province of Girona, Catalonia, Spain, known for its rural character and proximity to the city of Girona.
|
E1028929
|
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: Bescanó | Statement: [Gironès, contains, Bescanó]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bescanó Context triple: [Gironès, contains, Bescanó]
-
A.
Berguedà
Berguedà is a mountainous comarca in central Catalonia, Spain, known for its Pyrenean landscapes, rural villages, and natural parks.
-
B.
Trambesòs
Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
-
C.
Camarasa
Camarasa is a municipality in the province of Lleida, Catalonia, Spain, known for its reservoir and scenic location in the Noguera region.
-
D.
Vall d’Àneu
Vall d’Àneu is a high Pyrenean valley in Catalonia, Spain, known for its mountainous landscapes, traditional villages, and proximity to the Aigüestortes i Estany de Sant Maurici National Park.
-
E.
Pallejà
Pallejà is a municipality in the Baix Llobregat comarca of Catalonia, Spain, located near Barcelona along the Llobregat River.
- 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: Bescanó Triple: [Gironès, contains, Bescanó]
Generated description
Bescanó is a municipality in the province of Girona, Catalonia, Spain, known for its rural character and proximity to the city of Girona.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bescanó Target entity description: Bescanó is a municipality in the province of Girona, Catalonia, Spain, known for its rural character and proximity to the city of Girona.
-
A.
Berguedà
Berguedà is a mountainous comarca in central Catalonia, Spain, known for its Pyrenean landscapes, rural villages, and natural parks.
-
B.
Trambesòs
Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
-
C.
Camarasa
Camarasa is a municipality in the province of Lleida, Catalonia, Spain, known for its reservoir and scenic location in the Noguera region.
-
D.
Vall d’Àneu
Vall d’Àneu is a high Pyrenean valley in Catalonia, Spain, known for its mountainous landscapes, traditional villages, and proximity to the Aigüestortes i Estany de Sant Maurici National Park.
-
E.
Pallejà
Pallejà is a municipality in the Baix Llobregat comarca of Catalonia, Spain, located near Barcelona along the Llobregat River.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5850ac8190849a51da39efe5be |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff323a3c8190b46b24e69e653105 |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f7013a368c8190a768f837f6551f5b |
completed | May 3, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7038563848190ae96538e30ecafd5 |
completed | May 3, 2026, 8:12 a.m. |
Created at: April 9, 2026, 9:23 p.m.