Triple
T7943866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spain national under-21 football team |
E184451
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
La Rojita
La Rojita is the nickname of Spain’s under-21 national football team, renowned for developing many of the country’s future senior stars.
|
E699565
|
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: La Rojita | Statement: [Spain national under-21 football team, nickname, La Rojita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Rojita Context triple: [Spain national under-21 football team, nickname, La Rojita]
-
A.
Blanca
Blanca is a feminine given name, common in Spanish-speaking cultures, that corresponds to the English and French name Blanche.
-
B.
Mariquita
Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
-
C.
Rosalinda
Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
-
D.
Tita de la Garza
Tita de la Garza is the passionate, emotionally expressive heroine of Laura Esquivel’s novel "Like Water for Chocolate," whose cooking magically channels her feelings.
-
E.
Carmelita
Carmelita is the fiery, comedic Mexican heroine portrayed by Lupe Vélez in the 1940s "Mexican Spitfire" film series.
- 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: La Rojita Triple: [Spain national under-21 football team, nickname, La Rojita]
Generated description
La Rojita is the nickname of Spain’s under-21 national football team, renowned for developing many of the country’s future senior stars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Rojita Target entity description: La Rojita is the nickname of Spain’s under-21 national football team, renowned for developing many of the country’s future senior stars.
-
A.
Blanca
Blanca is a feminine given name, common in Spanish-speaking cultures, that corresponds to the English and French name Blanche.
-
B.
Mariquita
Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
-
C.
Rosalinda
Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
-
D.
Tita de la Garza
Tita de la Garza is the passionate, emotionally expressive heroine of Laura Esquivel’s novel "Like Water for Chocolate," whose cooking magically channels her feelings.
-
E.
Carmelita
Carmelita is the fiery, comedic Mexican heroine portrayed by Lupe Vélez in the 1940s "Mexican Spitfire" film series.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0e84448190a7e8e0749776a592 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c175bd88190bdc0303bc0df90d8 |
completed | March 31, 2026, 5:31 a.m. |
| NEDg | Description generation | batch_69cb7635a0e48190ae8c3f6993df3ad2 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb663d3a48190bc62f7a04bc6a1bb |
completed | March 31, 2026, 11:56 a.m. |
Created at: March 30, 2026, 5:09 p.m.