Triple
T10769157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabadell |
E254028
|
entity |
| Predicate | belongsToNUTSRegion |
P9956
|
FINISHED |
| Object |
ES511 (Barcelona)
ES511 (Barcelona) is a NUTS 3 statistical region in Spain that encompasses the city of Barcelona and its surrounding metropolitan area.
|
E884772
|
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: ES511 (Barcelona) | Statement: [Sabadell, belongsToNUTSRegion, ES511 (Barcelona)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ES511 (Barcelona) Context triple: [Sabadell, belongsToNUTSRegion, ES511 (Barcelona)]
-
A.
El Masnou, Spain
El Masnou, Spain is a coastal town in the province of Barcelona, Catalonia, known for its Mediterranean beaches and marina.
-
B.
Beineix
Beineix is the surname of French film director Jean-Jacques Beineix, known for visually stylish works like "Diva" and "Betty Blue."
-
C.
L’Escala
L’Escala is a coastal town in northeastern Catalonia, Spain, known for its beaches, fishing heritage, and famous anchovy production.
-
D.
Madrid-Sol
Madrid-Sol is a central commuter rail and metro hub in Madrid, Spain, serving as one of the city’s busiest and most important transit interchanges.
-
E.
Gimnasio Solé, Barcelona
Gimnasio Solé in Barcelona was the gymnasium where Joan Gamper convened the first meeting that led to the founding of FC Barcelona.
- 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: ES511 (Barcelona) Triple: [Sabadell, belongsToNUTSRegion, ES511 (Barcelona)]
Generated description
ES511 (Barcelona) is a NUTS 3 statistical region in Spain that encompasses the city of Barcelona and its surrounding metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ES511 (Barcelona) Target entity description: ES511 (Barcelona) is a NUTS 3 statistical region in Spain that encompasses the city of Barcelona and its surrounding metropolitan area.
-
A.
El Masnou, Spain
El Masnou, Spain is a coastal town in the province of Barcelona, Catalonia, known for its Mediterranean beaches and marina.
-
B.
Beineix
Beineix is the surname of French film director Jean-Jacques Beineix, known for visually stylish works like "Diva" and "Betty Blue."
-
C.
L’Escala
L’Escala is a coastal town in northeastern Catalonia, Spain, known for its beaches, fishing heritage, and famous anchovy production.
-
D.
Madrid-Sol
Madrid-Sol is a central commuter rail and metro hub in Madrid, Spain, serving as one of the city’s busiest and most important transit interchanges.
-
E.
Gimnasio Solé, Barcelona
Gimnasio Solé in Barcelona was the gymnasium where Joan Gamper convened the first meeting that led to the founding of FC Barcelona.
- 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.