Triple
T10644912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berguedà |
E250811
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Fígols
Fígols is a small municipality in the Berguedà comarca of Catalonia, Spain, known for its mountainous landscape and historical links to coal mining.
|
E878094
|
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: Fígols | Statement: [Berguedà, contains, Fígols]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fígols Context triple: [Berguedà, contains, Fígols]
-
A.
Fiquet
Fiquet is a French surname most notably borne by Hortense Fiquet, the model and wife of painter Paul Cézanne.
-
B.
Fages
Fages is a Spanish surname most notably associated with Pedro Fages, an 18th-century Spanish soldier and colonial administrator in California.
-
C.
Noguès
Noguès is a French surname borne by various notable individuals, including figures in politics, arts, and sports.
-
D.
Ripollès
Ripollès is a mountainous comarca in the Catalan Pyrenees of northeastern Spain, known for its Romanesque heritage, natural landscapes, and proximity to the French border.
-
E.
Frasqueira
Frasqueira is a premium category of Madeira wine denoting long-aged, high-quality vintage bottlings.
- 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: Fígols Triple: [Berguedà, contains, Fígols]
Generated description
Fígols is a small municipality in the Berguedà comarca of Catalonia, Spain, known for its mountainous landscape and historical links to coal mining.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fígols Target entity description: Fígols is a small municipality in the Berguedà comarca of Catalonia, Spain, known for its mountainous landscape and historical links to coal mining.
-
A.
Fiquet
Fiquet is a French surname most notably borne by Hortense Fiquet, the model and wife of painter Paul Cézanne.
-
B.
Fages
Fages is a Spanish surname most notably associated with Pedro Fages, an 18th-century Spanish soldier and colonial administrator in California.
-
C.
Noguès
Noguès is a French surname borne by various notable individuals, including figures in politics, arts, and sports.
-
D.
Ripollès
Ripollès is a mountainous comarca in the Catalan Pyrenees of northeastern Spain, known for its Romanesque heritage, natural landscapes, and proximity to the French border.
-
E.
Frasqueira
Frasqueira is a premium category of Madeira wine denoting long-aged, high-quality vintage bottlings.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfd04ca88190ac4fffd13c1f33a8 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a580d388190aea5edadd4afc0d1 |
completed | April 10, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d97cc20448819094d650b9c1067dca |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e0cda0c8190af5013b971b2ad3c |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:05 p.m.