Triple
T22691502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ecuador national football team |
E561061
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | La Tricolor |
—
|
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: La Tricolor | Statement: [Ecuador national football team, nickname, La Tricolor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Tricolor Context triple: [Ecuador national football team, nickname, La Tricolor]
-
A.
La Tricolor
chosen
La Tricolor is a popular nickname for the Costa Rica national football team, referencing the three colors of the country’s flag.
-
B.
El Tricolor
El Tricolor is a popular nickname for the Mexico national football team, referencing the three colors of the country’s flag.
-
C.
Biancorossi
Biancorossi is the traditional nickname of Italian football club AC Monza, referring to the team’s white and red colors.
-
D.
Biancorossi
Biancorossi is the traditional nickname of Italian football club LR Vicenza, referring to the team’s white-and-red colors.
-
E.
Azzurro
"Azzurro" is a classic 1968 Italian pop song, famously performed by Adriano Celentano, that has become one of the most recognizable and enduring pieces in Italian popular music.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789adcc48190b4a717166d5dba19 |
completed | April 29, 2026, 3:18 a.m. |
Created at: April 17, 2026, 3:13 p.m.