Triple
T2303027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camp Nou |
E51773
|
entity |
| Predicate | cityDistrict |
P2709
|
FINISHED |
| Object |
Les Corts
Les Corts is a district in the western part of Barcelona, Spain, known for its residential character and for hosting the FC Barcelona stadium, Camp Nou.
|
E253359
|
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: Les Corts | Statement: [Camp Nou, cityDistrict, Les Corts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les Corts Context triple: [Camp Nou, cityDistrict, Les Corts]
-
A.
Orfeó Català
Orfeó Català is a historic Catalan choral society and cultural institution based in Barcelona, renowned for promoting Catalan music and choral traditions.
-
B.
Badalona
Badalona is a coastal city in Catalonia, Spain, known as part of the Barcelona metropolitan area and for its strong basketball tradition.
-
C.
Casal Català
Casal Català is a type of cultural and social center that brings together members of the Catalan diaspora to promote Catalan language, traditions, and community life abroad.
-
D.
El Rosal
El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
-
E.
De Barra
De Barra is a variant form of the name Barra, typically used as a surname or family name in Irish and Scottish contexts.
- 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: Les Corts Triple: [Camp Nou, cityDistrict, Les Corts]
Generated description
Les Corts is a district in the western part of Barcelona, Spain, known for its residential character and for hosting the FC Barcelona stadium, Camp Nou.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Les Corts Target entity description: Les Corts is a district in the western part of Barcelona, Spain, known for its residential character and for hosting the FC Barcelona stadium, Camp Nou.
-
A.
Orfeó Català
Orfeó Català is a historic Catalan choral society and cultural institution based in Barcelona, renowned for promoting Catalan music and choral traditions.
-
B.
Badalona
Badalona is a coastal city in Catalonia, Spain, known as part of the Barcelona metropolitan area and for its strong basketball tradition.
-
C.
Casal Català
Casal Català is a type of cultural and social center that brings together members of the Catalan diaspora to promote Catalan language, traditions, and community life abroad.
-
D.
El Rosal
El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
-
E.
De Barra
De Barra is a variant form of the name Barra, typically used as a surname or family name in Irish and Scottish contexts.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5f101dc8190824346e6ae564e51 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f332e788190b1dd4b8b0bbfe5d7 |
completed | March 9, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_69ae802a066881909aa4e7b00e29306f |
completed | March 9, 2026, 8:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae80c37ff48190a24b7806320ebc00 |
completed | March 9, 2026, 8:11 a.m. |
Created at: March 4, 2026, 7:49 p.m.