Triple
T10644776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maresme |
E250808
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Cabrils
Cabrils is a small municipality in the Maresme comarca of Catalonia, Spain, known for its residential character and proximity to the Mediterranean coast.
|
E879965
|
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: Cabrils | Statement: [Maresme, hasMunicipality, Cabrils]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cabrils Context triple: [Maresme, hasMunicipality, Cabrils]
-
A.
Osuna
Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
-
B.
Valderrobres
Valderrobres is a historic town in eastern Spain known for its well-preserved medieval architecture, including a hilltop castle and Gothic bridge over the Matarraña River.
-
C.
Brihuega
Brihuega is a historic town in central Spain’s Castilla-La Mancha region, renowned for its medieval architecture and extensive lavender fields.
-
D.
Cardeñosa
Cardeñosa is a small municipality in the province of Ávila, in the autonomous community of Castile and León, Spain.
-
E.
Higuillar
Higuillar is a coastal barrio (district) of the municipality of Dorado in Puerto Rico, known for its beaches and residential communities.
- 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: Cabrils Triple: [Maresme, hasMunicipality, Cabrils]
Generated description
Cabrils is a small municipality in the Maresme comarca of Catalonia, Spain, known for its residential character and proximity to the Mediterranean coast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cabrils Target entity description: Cabrils is a small municipality in the Maresme comarca of Catalonia, Spain, known for its residential character and proximity to the Mediterranean coast.
-
A.
Osuna
Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
-
B.
Valderrobres
Valderrobres is a historic town in eastern Spain known for its well-preserved medieval architecture, including a hilltop castle and Gothic bridge over the Matarraña River.
-
C.
Brihuega
Brihuega is a historic town in central Spain’s Castilla-La Mancha region, renowned for its medieval architecture and extensive lavender fields.
-
D.
Cardeñosa
Cardeñosa is a small municipality in the province of Ávila, in the autonomous community of Castile and León, Spain.
-
E.
Higuillar
Higuillar is a coastal barrio (district) of the municipality of Dorado in Puerto Rico, known for its beaches and residential communities.
- 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_69d998a4571481908f5010146f7ca5d7 |
completed | April 11, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69d99e8312188190bec3090f34a7b9b9 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d99f50e0888190b8e7b2547e1526af |
completed | April 11, 2026, 1:09 a.m. |
Created at: April 8, 2026, 9:05 p.m.