Triple
T1117277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Leones |
E11128
|
entity |
| Predicate | usedAsMediaNicknameBy |
P17599
|
FINISHED |
| Object | Cuban sports press |
—
|
LITERAL FINISHED |
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: Cuban sports press | Statement: [Los Leones, usedAsMediaNicknameBy, Cuban sports press]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsMediaNicknameBy Context triple: [Los Leones, usedAsMediaNicknameBy, Cuban sports press]
-
A.
mediaNicknameGivenBy
chosen
Indicates that a particular nickname was assigned to an entity by media organizations or outlets.
-
B.
fandomNickname
Indicates that one entity is the nickname used by fans to refer to another entity (such as a person, group, or work).
-
C.
nameUsedIn
Indicates that a particular name is employed or referenced within a specified context, work, or usage setting.
-
D.
academyNickname
Indicates that an entity is known by a particular informal or colloquial nickname within an academy or academic institution context.
-
E.
usedByMedia
Indicates that something is employed or utilized by media organizations or media-related channels.
- F. None of above.
Provenance (3 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4562f48190831e959f5f309956 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.