Triple
T32330623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It’s More Fun in the Philippines |
E826039
|
entity |
| Predicate | countryPromoted |
P31872
|
FINISHED |
| Object | Philippines |
—
|
NE NERFINISHED |
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: Philippines | Statement: [It’s More Fun in the Philippines, countryPromoted, Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryPromoted Context triple: [It’s More Fun in the Philippines, countryPromoted, Philippines]
-
A.
countryPlanned
Indicates that a country has planned or scheduled a particular action, event, or arrangement involving another entity.
-
B.
countryFeatured
chosen
Indicates that a particular country is highlighted or given special prominence in a given context or presentation.
-
C.
countryIncludes
Indicates that a country geographically or administratively contains or encompasses a specified region, territory, or subdivision.
-
D.
countryScope
Indicates that something is limited to, applicable within, or defined at the level of a specific country.
-
E.
cityPromoted
Indicates that an entity (such as an organization, person, or campaign) carried out promotional activities to advertise or raise the profile of a particular city.
- 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_69f34913d9048190befaa634025232be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a004b6ad4248190b402a0d01b0ebf83 |
completed | May 10, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_6a004ae736b881908a0efed8f63f982e |
completed | May 10, 2026, 9:07 a.m. |
Created at: May 1, 2026, 12:47 a.m.