Triple
T10769168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallès Oriental |
E254029
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
La Garriga
La Garriga is a municipality in Catalonia, Spain, known for its modernist architecture, thermal baths, and location at the foot of the Montseny massif.
|
E923986
|
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: La Garriga | Statement: [Vallès Oriental, contains, La Garriga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Garriga Context triple: [Vallès Oriental, contains, La Garriga]
-
A.
Garriga
Garriga is a Spanish surname most notably borne by Ignacio Garriga, a contemporary Spanish politician.
-
B.
Noguera Pallaresa
Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
-
C.
Gironella
Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
-
D.
Segarra
Segarra is a historical inland comarca in Catalonia, Spain, known for its rolling cereal plains, medieval castles, and the town of Cervera as its capital.
-
E.
Seix Barral
Seix Barral is a renowned Spanish publishing house known for its influential role in promoting contemporary literature in the Spanish-speaking world.
- 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: La Garriga Triple: [Vallès Oriental, contains, La Garriga]
Generated description
La Garriga is a municipality in Catalonia, Spain, known for its modernist architecture, thermal baths, and location at the foot of the Montseny massif.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Garriga Target entity description: La Garriga is a municipality in Catalonia, Spain, known for its modernist architecture, thermal baths, and location at the foot of the Montseny massif.
-
A.
Garriga
Garriga is a Spanish surname most notably borne by Ignacio Garriga, a contemporary Spanish politician.
-
B.
Noguera Pallaresa
Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
-
C.
Gironella
Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
-
D.
Segarra
Segarra is a historical inland comarca in Catalonia, Spain, known for its rolling cereal plains, medieval castles, and the town of Cervera as its capital.
-
E.
Seix Barral
Seix Barral is a renowned Spanish publishing house known for its influential role in promoting contemporary literature in the Spanish-speaking world.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7322f9968819098b0ad54b913bfe4 |
completed | April 9, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b76fa8348190bb42f1c71eb0e545 |
completed | April 20, 2026, 5:19 a.m. |
| NEDg | Description generation | batch_69e5bb5d6e0c8190933cd3d6e83c24a2 |
completed | April 20, 2026, 5:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5c29d7b608190ae79bb8318211547 |
completed | April 20, 2026, 6:07 a.m. |
Created at: April 8, 2026, 9:16 p.m.