Triple
T21607156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSD Comunicaciones |
E533206
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Cremas |
—
|
NE NERFINISHED |
How this triple was built (2 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: Cremas | Statement: [CSD Comunicaciones, nickname, Cremas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cremas Context triple: [CSD Comunicaciones, nickname, Cremas]
-
A.
Cremas
chosen
Cremas is the popular nickname of Guatemalan football club Comunicaciones F.C., one of the country’s most successful and widely supported teams.
-
B.
Kream
"Kream" is a 2018 hip hop single by Australian rapper Iggy Azalea featuring Tyga, known for its bass-heavy production, club-oriented sound, and viral popularity.
-
C.
Caramelo
"Caramelo" is a popular reggaeton/Latin urban hit song by Puerto Rican singer Ozuna, known for its catchy melody and romantic lyrics.
-
D.
Caramelo
Caramelo is a novel by Sandra Cisneros that explores a Mexican American family’s history, identity, and intergenerational relationships through the memories tied to a cherished rebozo (shawl).
-
E.
Crema
Crema is a historic town in the Lombardy region of northern Italy, known for its medieval architecture and cultural heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e6378881908678dc903b8ba6ac |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:33 p.m.