Triple
T11239534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican Pipeline |
E266032
|
entity |
| Predicate | surfCultureRole |
P3795
|
FINISHED |
| Object | iconic Latin American surf spot |
—
|
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: iconic Latin American surf spot | Statement: [Mexican Pipeline, surfCultureRole, iconic Latin American surf spot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfCultureRole Context triple: [Mexican Pipeline, surfCultureRole, iconic Latin American surf spot]
-
A.
notableSubculture
Indicates that one entity is a significant or well-recognized subculture within the context or domain of the other entity.
-
B.
popularCultureTrait
Indicates that an entity exhibits a characteristic, behavior, or element that is commonly recognized or influential within popular culture.
-
C.
culturalSphere
Indicates that one entity belongs to, is influenced by, or participates in the cultural domain, tradition, or milieu defined by another entity.
-
D.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
-
E.
hasCulturalRole
chosen
Indicates that an entity fulfills or is assigned a specific function, position, or significance within a cultural, social, or traditional context.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e918375081908c2a7ccb50cbf331 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d7878906f48190b63ddc103a0c8f9b |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:30 p.m.