Triple
T17497104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrolterra |
E426091
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Valdoviño
Valdoviño is a coastal municipality in the province of A Coruña, Galicia, Spain, known for its beaches and scenic Atlantic landscapes.
|
E1275769
|
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: Valdoviño | Statement: [Ferrolterra, hasMunicipality, Valdoviño]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valdoviño Context triple: [Ferrolterra, hasMunicipality, Valdoviño]
-
A.
Vernazobre
Vernazobre is a river in southern France that serves as a tributary of the Orb.
-
B.
Bierzo
Bierzo is a historical and geographical comarca in the province of León, Spain, known for its distinctive mix of Leonese and Galician cultural influences and its renowned wine production.
-
C.
Villanúa
Villanúa is a small Pyrenean village in northeastern Spain known for its mountain scenery, outdoor activities, and proximity to the French border.
-
D.
Fariña
Fariña is the surname of American folk singer, songwriter, and activist Mimi Fariña, known for her musical work and social advocacy.
-
E.
Viura
Viura is a white grape variety from Spain, best known as the primary grape used in the white wines of Rioja and often referred to as Macabeo in other 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: Valdoviño Triple: [Ferrolterra, hasMunicipality, Valdoviño]
Generated description
Valdoviño is a coastal municipality in the province of A Coruña, Galicia, Spain, known for its beaches and scenic Atlantic landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valdoviño Target entity description: Valdoviño is a coastal municipality in the province of A Coruña, Galicia, Spain, known for its beaches and scenic Atlantic landscapes.
-
A.
Vernazobre
Vernazobre is a river in southern France that serves as a tributary of the Orb.
-
B.
Bierzo
Bierzo is a historical and geographical comarca in the province of León, Spain, known for its distinctive mix of Leonese and Galician cultural influences and its renowned wine production.
-
C.
Villanúa
Villanúa is a small Pyrenean village in northeastern Spain known for its mountain scenery, outdoor activities, and proximity to the French border.
-
D.
Fariña
Fariña is the surname of American folk singer, songwriter, and activist Mimi Fariña, known for her musical work and social advocacy.
-
E.
Viura
Viura is a white grape variety from Spain, best known as the primary grape used in the white wines of Rioja and often referred to as Macabeo in other 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4520f6790819092c36e0e4ecc4cd3 |
completed | April 19, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01d28061e48190bf339dd2c76be764 |
completed | May 11, 2026, 12:58 p.m. |
| NEDg | Description generation | batch_6a01d8a5777c8190ac9a211defcdf355 |
completed | May 11, 2026, 1:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01d907f9d08190b41a7403c6840e60 |
completed | May 11, 2026, 1:26 p.m. |
Created at: April 10, 2026, 5:48 a.m.