Triple
T12283019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unión Española |
E292759
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Los Rojos
Los Rojos is the popular nickname of Chilean football club Unión Española, referencing the team’s traditional red colors.
|
E973157
|
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: Los Rojos | Statement: [Unión Española, nickname, Los Rojos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Los Rojos Context triple: [Unión Española, nickname, Los Rojos]
-
A.
Los Rojos
Los Rojos is the popular nickname of Guatemalan football club CSD Municipal, one of the country’s most successful and widely supported teams.
-
B.
Los Franjirrojos
Los Franjirrojos is the popular nickname of Spanish football club Rayo Vallecano, highlighting the team’s iconic red diagonal-striped kit.
-
C.
Rojiblancos
Rojiblancos is the commonly used nickname for Granada CF, highlighting the Spanish football club’s traditional red-and-white striped colors.
-
D.
Los Colchoneros
Los Colchoneros is the popular nickname of Spanish football club Atlético de Madrid, referring to the club’s traditional red-and-white striped colors.
-
E.
Rojinegros
Rojinegros is the popular nickname for Mexican football club Atlas F.C., referring to the team's traditional red and black colors.
- 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: Los Rojos Triple: [Unión Española, nickname, Los Rojos]
Generated description
Los Rojos is the popular nickname of Chilean football club Unión Española, referencing the team’s traditional red colors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Los Rojos Target entity description: Los Rojos is the popular nickname of Chilean football club Unión Española, referencing the team’s traditional red colors.
-
A.
Los Rojos
Los Rojos is the popular nickname of Guatemalan football club CSD Municipal, one of the country’s most successful and widely supported teams.
-
B.
Los Franjirrojos
Los Franjirrojos is the popular nickname of Spanish football club Rayo Vallecano, highlighting the team’s iconic red diagonal-striped kit.
-
C.
Rojiblancos
Rojiblancos is the commonly used nickname for Granada CF, highlighting the Spanish football club’s traditional red-and-white striped colors.
-
D.
Los Colchoneros
Los Colchoneros is the popular nickname of Spanish football club Atlético de Madrid, referring to the club’s traditional red-and-white striped colors.
-
E.
Rojinegros
Rojinegros is the popular nickname for Mexican football club Atlas F.C., referring to the team's traditional red and black colors.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf2b09c81908a11581d33f65be0 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e70dec8819098199fbb54d888c1 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f5bc1fc8190af9d74acc307ebe1 |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62041f2408190ad320fec5283abdd |
completed | May 2, 2026, 4:03 p.m. |
Created at: April 8, 2026, 9:52 p.m.