Triple
T2303016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camp Nou |
E51773
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Nou Camp
Nou Camp is the commonly used English name for Camp Nou, the iconic home stadium of FC Barcelona in Barcelona, Spain.
|
E253357
|
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: Nou Camp | Statement: [Camp Nou, nickname, Nou Camp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nou Camp Context triple: [Camp Nou, nickname, Nou Camp]
-
A.
El Molo
El Molo is a nearly extinct Cushitic language spoken by the El Molo people of northern Kenya along the shores of Lake Turkana.
-
B.
Bayona
Bayona is a Spanish surname most notably associated with filmmaker J. A. Bayona, known for directing acclaimed films such as "The Orphanage" and "The Impossible."
-
C.
Palma Nova
Palma Nova is a popular resort town on the Spanish island of Mallorca, known for its sandy beaches, tourist amenities, and vibrant holiday atmosphere.
-
D.
Terrassa
Terrassa is a city in Catalonia, Spain, known as part of the Barcelona metropolitan area and for its industrial heritage and modernist architecture.
-
E.
Manresa
Manresa is a historic city in Catalonia, Spain, known for its medieval architecture and significance as a religious and commercial center in the region.
- 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: Nou Camp Triple: [Camp Nou, nickname, Nou Camp]
Generated description
Nou Camp is the commonly used English name for Camp Nou, the iconic home stadium of FC Barcelona in Barcelona, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nou Camp Target entity description: Nou Camp is the commonly used English name for Camp Nou, the iconic home stadium of FC Barcelona in Barcelona, Spain.
-
A.
El Molo
El Molo is a nearly extinct Cushitic language spoken by the El Molo people of northern Kenya along the shores of Lake Turkana.
-
B.
Bayona
Bayona is a Spanish surname most notably associated with filmmaker J. A. Bayona, known for directing acclaimed films such as "The Orphanage" and "The Impossible."
-
C.
Palma Nova
Palma Nova is a popular resort town on the Spanish island of Mallorca, known for its sandy beaches, tourist amenities, and vibrant holiday atmosphere.
-
D.
Terrassa
Terrassa is a city in Catalonia, Spain, known as part of the Barcelona metropolitan area and for its industrial heritage and modernist architecture.
-
E.
Manresa
Manresa is a historic city in Catalonia, Spain, known for its medieval architecture and significance as a religious and commercial center in the region.
- 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.