Triple
T10644769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maresme |
E250808
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Canet de Mar
Canet de Mar is a coastal town in Catalonia, Spain, known for its modernist architecture and Mediterranean beaches.
|
E878555
|
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: Canet de Mar | Statement: [Maresme, hasMunicipality, Canet de Mar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canet de Mar Context triple: [Maresme, hasMunicipality, Canet de Mar]
-
A.
Arenys de Mar
Arenys de Mar is a coastal town and municipality in the Maresme comarca of Catalonia, Spain, known for its fishing port and Mediterranean beaches.
-
B.
Deià
Deià is a picturesque coastal village on the Spanish island of Mallorca, famed for its dramatic mountain-and-sea scenery and its long association with artists and writers.
-
C.
Banyoles
Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
-
D.
Cala d'Or
Cala d'Or is a popular resort town on Mallorca’s southeastern coast, known for its sheltered coves, sandy beaches, and whitewashed, Ibizan-style architecture.
-
E.
Marvejols
Marvejols is a historic town in southern France’s Lozère department, known for its medieval heritage and location near the Aubrac and Margeride regions.
- 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: Canet de Mar Triple: [Maresme, hasMunicipality, Canet de Mar]
Generated description
Canet de Mar is a coastal town in Catalonia, Spain, known for its modernist architecture and Mediterranean beaches.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Canet de Mar Target entity description: Canet de Mar is a coastal town in Catalonia, Spain, known for its modernist architecture and Mediterranean beaches.
-
A.
Arenys de Mar
Arenys de Mar is a coastal town and municipality in the Maresme comarca of Catalonia, Spain, known for its fishing port and Mediterranean beaches.
-
B.
Deià
Deià is a picturesque coastal village on the Spanish island of Mallorca, famed for its dramatic mountain-and-sea scenery and its long association with artists and writers.
-
C.
Banyoles
Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
-
D.
Cala d'Or
Cala d'Or is a popular resort town on Mallorca’s southeastern coast, known for its sheltered coves, sandy beaches, and whitewashed, Ibizan-style architecture.
-
E.
Marvejols
Marvejols is a historic town in southern France’s Lozère department, known for its medieval heritage and location near the Aubrac and Margeride regions.
- 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_69d988530f288190b8150d159f723a74 |
completed | April 10, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69d98afa316c8190b9645401d8e43f59 |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98c013348819094bde38a057257b4 |
completed | April 10, 2026, 11:47 p.m. |
Created at: April 8, 2026, 9:05 p.m.