Triple
T10650211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Eléctricos |
E250945
|
entity |
| Predicate | hasAssociationType |
P781
|
FINISHED |
| Object | sporting nickname |
—
|
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: sporting nickname | Statement: [Los Eléctricos, hasAssociationType, sporting nickname]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociationType Context triple: [Los Eléctricos, hasAssociationType, sporting nickname]
-
A.
hasPrimaryAssociation
Indicates that one entity is chiefly or most directly connected, linked, or related to another among possible associations.
-
B.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
-
C.
hasAffiliationType
chosen
Indicates that one entity is connected to another through a specified kind or category of affiliation or association.
-
D.
hasStereotypeAssociation
Indicates that one entity is associated with another through a stereotype, implying a generalized or oversimplified characterization rather than an individually grounded attribute.
-
E.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe4b97081908815b77612222318 |
completed | April 8, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69d6dd83b114819098e84dc658e82d7e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:06 p.m.