Triple
T10650209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Eléctricos |
E250945
|
entity |
| Predicate | hasPopularityScope |
P95158
|
FINISHED |
| Object | Ecuadorian football culture |
—
|
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: Ecuadorian football culture | Statement: [Los Eléctricos, hasPopularityScope, Ecuadorian football culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPopularityScope Context triple: [Los Eléctricos, hasPopularityScope, Ecuadorian football culture]
-
A.
hasPopularityInfluencedBy
Indicates that the popularity level of one entity is affected or shaped by another specified factor or entity.
-
B.
hasPopularityReason
Indicates that there is a specific reason or factor explaining why something is popular.
-
C.
isPopularWith
Indicates that one entity is well-liked, favored, or widely accepted by another entity or group.
-
D.
peakPopularity
Indicates the time or context in which something reaches its highest level of popularity relative to other times or contexts.
-
E.
isPopularOnSocialMedia
Indicates that an entity is widely followed, frequently engaged with, or broadly recognized across social media platforms.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69d6df47899481909ac0e518d94883cb |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:06 p.m.