Triple
T23249978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Perla, San Juan, Puerto Rico |
E581705
|
entity |
| Predicate | tourismIncreasedAfter |
P39275
|
FINISHED |
| Object | release of Despacito music video |
—
|
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: release of Despacito music video | Statement: [La Perla, San Juan, Puerto Rico, tourismIncreasedAfter, release of Despacito music video]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourismIncreasedAfter Context triple: [La Perla, San Juan, Puerto Rico, tourismIncreasedAfter, release of Despacito music video]
-
A.
tourismBoom
Indicates a rapid and significant increase in tourism activity, such as visitor numbers, spending, or development, within a particular place or period.
-
B.
hasGrowingTourismSector
Indicates that a place is experiencing an increase in tourism activity and development over time.
-
C.
hadTourismEconomyFor
Indicates that an entity has sustained a tourism-based economy for a specified period or duration.
-
D.
hasTourismDevelopment
Indicates that tourism-related infrastructure, services, or activities have been developed or promoted in relation to the referenced entity.
-
E.
hasTourismImpactOn
chosen
Indicates that one entity affects or influences the tourism levels, patterns, or attractiveness of another entity.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f5aa9081909775fb7f7dc660b3 |
completed | April 29, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:10 p.m.