Triple
T23229023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rangers de Talca |
E581096
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Rojinegros |
—
|
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: Rojinegros | Statement: [Rangers de Talca, nickname, Rojinegros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rojinegros Context triple: [Rangers de Talca, nickname, Rojinegros]
-
A.
Rojinegros
chosen
Rojinegros is the popular nickname for Mexican football club Atlas F.C., referring to the team's traditional red and black colors.
-
B.
El Aurinegro
El Aurinegro is the popular nickname of Club Olimpo, an Argentine football club known for its traditional yellow-and-black colors.
-
C.
Rionegro Águilas
Rionegro Águilas is a Colombian professional football club that competes in the country’s top-tier league.
-
D.
Os Alvinegros
Os Alvinegros is the traditional black-and-white clad supporter and team nickname associated with Portuguese football club C.D. Nacional.
-
E.
Club Rubio Ñu
Club Rubio Ñu is a Paraguayan football club based in Asunción, known for competing in the country's top professional league and developing local talent.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1923131c081909c6e84b1a0c32e0d |
completed | April 29, 2026, 5:08 a.m. |
Created at: April 17, 2026, 4:09 p.m.