Triple
T10644908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berguedà |
E250811
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sagàs
Sagàs is a small rural municipality in the Berguedà comarca of Catalonia, Spain, known for its agricultural landscape and traditional Catalan countryside.
|
E878091
|
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: Sagàs | Statement: [Berguedà, contains, Sagàs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sagàs Context triple: [Berguedà, contains, Sagàs]
-
A.
Sagiada
Sagiada is a small coastal town in northwestern Greece, near the Albanian border, known for its fishing harbor and views over the Ionian Sea.
-
B.
Sabanalarga
Sabanalarga is a rural municipality in eastern Colombia known for its cattle ranching and agricultural activities within the Llanos (plains) region.
-
C.
Hạfhai
Hạfhai is one of the small outlying islets associated with the Polynesian island of Rotuma in the South Pacific.
-
D.
Sakaar
Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
-
E.
Sgaopha
Sgaopha is the traditional male attire of the Dimasa community, typically consisting of a distinctive wrapped cloth worn around the waist.
- 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: Sagàs Triple: [Berguedà, contains, Sagàs]
Generated description
Sagàs is a small rural municipality in the Berguedà comarca of Catalonia, Spain, known for its agricultural landscape and traditional Catalan countryside.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sagàs Target entity description: Sagàs is a small rural municipality in the Berguedà comarca of Catalonia, Spain, known for its agricultural landscape and traditional Catalan countryside.
-
A.
Sagiada
Sagiada is a small coastal town in northwestern Greece, near the Albanian border, known for its fishing harbor and views over the Ionian Sea.
-
B.
Sabanalarga
Sabanalarga is a rural municipality in eastern Colombia known for its cattle ranching and agricultural activities within the Llanos (plains) region.
-
C.
Hạfhai
Hạfhai is one of the small outlying islets associated with the Polynesian island of Rotuma in the South Pacific.
-
D.
Sakaar
Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
-
E.
Sgaopha
Sgaopha is the traditional male attire of the Dimasa community, typically consisting of a distinctive wrapped cloth worn around the waist.
- 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.