Triple
T11619509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sant Cugat del Vallès |
E275599
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Mira-sol
Mira-sol is a residential neighborhood and district within the municipality of Sant Cugat del Vallès in Catalonia, Spain.
|
E938055
|
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: Mira-sol | Statement: [Sant Cugat del Vallès, hasDistrict, Mira-sol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mira-sol Context triple: [Sant Cugat del Vallès, hasDistrict, Mira-sol]
-
A.
Maljamar
Maljamar is a small unincorporated community in southeastern New Mexico known historically for its oil and gas activity.
-
B.
Mangilao
Mangilao is a village on the eastern side of Guam known for hosting the University of Guam and Guam Community College.
-
C.
Maragondon
Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
-
D.
Mingulay
Mingulay is an uninhabited island in Scotland’s Outer Hebrides, known for its dramatic sea cliffs, rich seabird colonies, and remote, rugged landscape.
-
E.
Mabini
Mabini is a coastal municipality in the province of Batangas in the Philippines, known for its diving spots and marine biodiversity.
- 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: Mira-sol Triple: [Sant Cugat del Vallès, hasDistrict, Mira-sol]
Generated description
Mira-sol is a residential neighborhood and district within the municipality of Sant Cugat del Vallès in Catalonia, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mira-sol Target entity description: Mira-sol is a residential neighborhood and district within the municipality of Sant Cugat del Vallès in Catalonia, Spain.
-
A.
Maljamar
Maljamar is a small unincorporated community in southeastern New Mexico known historically for its oil and gas activity.
-
B.
Mangilao
Mangilao is a village on the eastern side of Guam known for hosting the University of Guam and Guam Community College.
-
C.
Maragondon
Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
-
D.
Mingulay
Mingulay is an uninhabited island in Scotland’s Outer Hebrides, known for its dramatic sea cliffs, rich seabird colonies, and remote, rugged landscape.
-
E.
Mabini
Mabini is a coastal municipality in the province of Batangas in the Philippines, known for its diving spots and marine biodiversity.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a1206f1c81908d92024ef71958c0 |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee874fe11c81908b9d3a996bcc51d2 |
completed | April 26, 2026, 9:44 p.m. |
| NEDg | Description generation | batch_69eeb310e04c8190a1004662d5bbc015 |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eee95dfff48190a3c3022cdfc6dafc |
completed | April 27, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:38 p.m.