Triple
T10769178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallès Oriental |
E254029
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Vallromanes
Vallromanes is a small municipality in the province of Barcelona, Catalonia, known for its natural surroundings, golf course, and proximity to the coastal and metropolitan areas.
|
E884776
|
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: Vallromanes | Statement: [Vallès Oriental, contains, Vallromanes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vallromanes Context triple: [Vallès Oriental, contains, Vallromanes]
-
A.
Vallon
Vallon is a small municipality in the canton of Fribourg in western Switzerland.
-
B.
Famenne
Famenne is a natural and historical region in southern Belgium characterized by its limestone landscapes, caves, and rural scenery.
-
C.
Vallauris
Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
-
D.
Tavèrnoles
Tavèrnoles is a small municipality in the comarca of Osona in Catalonia, northeastern Spain, known for its rural landscape and traditional Catalan character.
-
E.
Fargas
Fargas is a surname most notably associated with American actor Antonio Fargas, known for his character roles in film and television.
- 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: Vallromanes Triple: [Vallès Oriental, contains, Vallromanes]
Generated description
Vallromanes is a small municipality in the province of Barcelona, Catalonia, known for its natural surroundings, golf course, and proximity to the coastal and metropolitan areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vallromanes Target entity description: Vallromanes is a small municipality in the province of Barcelona, Catalonia, known for its natural surroundings, golf course, and proximity to the coastal and metropolitan areas.
-
A.
Vallon
Vallon is a small municipality in the canton of Fribourg in western Switzerland.
-
B.
Famenne
Famenne is a natural and historical region in southern Belgium characterized by its limestone landscapes, caves, and rural scenery.
-
C.
Vallauris
Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
-
D.
Tavèrnoles
Tavèrnoles is a small municipality in the comarca of Osona in Catalonia, northeastern Spain, known for its rural landscape and traditional Catalan character.
-
E.
Fargas
Fargas is a surname most notably associated with American actor Antonio Fargas, known for his character roles in film and television.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7322f9968819098b0ad54b913bfe4 |
completed | April 9, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de236d0a78819090774656b7b492e5 |
completed | April 14, 2026, 11:22 a.m. |
| NEDg | Description generation | batch_69de271fb08c8190a44c547083226fd8 |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2cecc24c8190a240366e0600426a |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:16 p.m.