Triple
T10644799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bages |
E250809
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Sallent
Sallent is a municipality in the comarca of Bages in Catalonia, Spain, known for its historical town center and industrial heritage.
|
E878049
|
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: Sallent | Statement: [Bages, containsMunicipality, Sallent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sallent Context triple: [Bages, containsMunicipality, Sallent]
-
A.
Besalú
Besalú is a well-preserved medieval town in Catalonia, Spain, renowned for its Romanesque architecture and iconic 12th-century stone bridge.
-
B.
Gandesa
Gandesa is a historic town in Catalonia, Spain, known for its wine production and role in the Battle of the Ebro during the Spanish Civil War.
-
C.
Ripoll
Ripoll is a Spanish surname of Catalan origin, notably borne by Colombian singer Shakira.
-
D.
Tàrrega
Tàrrega is a historic town in Catalonia, Spain, known for its cultural festivals and medieval heritage.
-
E.
Benicarló
Benicarló is a coastal town in the province of Castellón, Spain, known for its Mediterranean beaches, agricultural production (especially artichokes), and historic old quarter.
- 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: Sallent Triple: [Bages, containsMunicipality, Sallent]
Generated description
Sallent is a municipality in the comarca of Bages in Catalonia, Spain, known for its historical town center and industrial heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sallent Target entity description: Sallent is a municipality in the comarca of Bages in Catalonia, Spain, known for its historical town center and industrial heritage.
-
A.
Besalú
Besalú is a well-preserved medieval town in Catalonia, Spain, renowned for its Romanesque architecture and iconic 12th-century stone bridge.
-
B.
Gandesa
Gandesa is a historic town in Catalonia, Spain, known for its wine production and role in the Battle of the Ebro during the Spanish Civil War.
-
C.
Ripoll
Ripoll is a Spanish surname of Catalan origin, notably borne by Colombian singer Shakira.
-
D.
Tàrrega
Tàrrega is a historic town in Catalonia, Spain, known for its cultural festivals and medieval heritage.
-
E.
Benicarló
Benicarló is a coastal town in the province of Castellón, Spain, known for its Mediterranean beaches, agricultural production (especially artichokes), and historic old quarter.
- 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_69d97a4dd4e48190ba7d0291686702e6 |
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.