Triple
T20493622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloud 9 surf break |
E502809
|
entity |
| Predicate | countryPopularity |
P133613
|
FINISHED |
| Object | one of the most famous surf spots in the Philippines |
—
|
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: one of the most famous surf spots in the Philippines | Statement: [Cloud 9 surf break, countryPopularity, one of the most famous surf spots in the Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryPopularity Context triple: [Cloud 9 surf break, countryPopularity, one of the most famous surf spots in the Philippines]
-
A.
internationalPopularity
Indicates that something is widely recognized, appreciated, or favored across multiple countries or cultures.
-
B.
popularityContext
Indicates the situational or domain-specific setting in which something’s popularity or level of public favor is evaluated.
-
C.
countryAudience
chosen
Indicates that an audience is located in, associated with, or targeted within a specific country.
-
D.
popularityType
Indicates the specific category or nature of how popularity is characterized or measured in the relationship.
-
E.
peakPopularity
Indicates the time or context in which something reaches its highest level of popularity relative to other times or contexts.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbc58d08190bf3f6b60259a8be1 |
completed | April 20, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
Created at: April 16, 2026, 11:35 a.m.