Triple
T16138647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Priorat |
E391594
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Porrera
Porrera is a village and municipality in Catalonia, Spain, known for its wine production within the renowned Priorat wine region.
|
E1203406
|
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: Porrera | Statement: [Priorat, hasMunicipality, Porrera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porrera Context triple: [Priorat, hasMunicipality, Porrera]
-
A.
Urqueira
Urqueira is a small locality or parish within the municipality of Ourém in central Portugal.
-
B.
Ripollet
Ripollet is a municipality in the comarca of Vallès Occidental in Catalonia, northeastern Spain, forming part of the Barcelona metropolitan area.
-
C.
Rascafría
Rascafría is a mountain village and municipality in the Sierra de Guadarrama of central Spain, known for its natural landscapes and the nearby Monastery of El Paular.
-
D.
Churriana
Churriana is a district of Málaga in southern Spain, known for encompassing the area around Málaga–Costa del Sol Airport and lying close to the Mediterranean coast.
-
E.
Noguera Pallaresa
Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
- 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: Porrera Triple: [Priorat, hasMunicipality, Porrera]
Generated description
Porrera is a village and municipality in Catalonia, Spain, known for its wine production within the renowned Priorat wine region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Porrera Target entity description: Porrera is a village and municipality in Catalonia, Spain, known for its wine production within the renowned Priorat wine region.
-
A.
Urqueira
Urqueira is a small locality or parish within the municipality of Ourém in central Portugal.
-
B.
Ripollet
Ripollet is a municipality in the comarca of Vallès Occidental in Catalonia, northeastern Spain, forming part of the Barcelona metropolitan area.
-
C.
Rascafría
Rascafría is a mountain village and municipality in the Sierra de Guadarrama of central Spain, known for its natural landscapes and the nearby Monastery of El Paular.
-
D.
Churriana
Churriana is a district of Málaga in southern Spain, known for encompassing the area around Málaga–Costa del Sol Airport and lying close to the Mediterranean coast.
-
E.
Noguera Pallaresa
Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a06e0988190b5cd62d422d058a2 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017a45620819098ab5fa50e73e7a9 |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a0018be4b8c8190b68001465b9af949 |
completed | May 10, 2026, 5:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00198af20c819087cfa7d01b3afdec |
completed | May 10, 2026, 5:37 a.m. |
Created at: April 10, 2026, 5:01 a.m.