Triple
T31942344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boleto de Entrada |
E815554
|
entity |
| Predicate | hasCreatorCountry |
P846
|
FINISHED |
| Object | Puerto Rico |
—
|
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: Puerto Rico | Statement: [Boleto de Entrada, hasCreatorCountry, Puerto Rico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCreatorCountry Context triple: [Boleto de Entrada, hasCreatorCountry, Puerto Rico]
-
A.
createdByCountryOfOrigin
Indicates that something was created by the country from which it originally comes or is associated as its origin.
-
B.
hasCountryArtist
Indicates a relationship where an entity is associated with, represented by, or features a specific country music artist.
-
C.
createdByNationality
Indicates that something was created by an individual or group belonging to a specified nationality.
-
D.
creatorCountryOfBirth
Indicates the country where the creator of an entity was born.
-
E.
hasCountry
chosen
Indicates that one entity possesses, is associated with, or is located within a specific country.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 1, 2026, 12:06 a.m.