Triple
T30592843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosalia (West Side Story) |
E778706
|
entity |
| Predicate | isImmigrantFrom |
P36274
|
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: [Rosalia (West Side Story), isImmigrantFrom, Puerto Rico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isImmigrantFrom Context triple: [Rosalia (West Side Story), isImmigrantFrom, Puerto Rico]
-
A.
countryOfOriginForImmigration
chosen
Indicates the country from which a person or group has emigrated when moving to another country.
-
B.
hasAncestralCitizenshipOf
Indicates that an entity holds or is recognized as holding citizenship of another entity based on ancestral or lineage connections rather than solely on birth or residence.
-
C.
immigratedTo
Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
-
D.
immigratedOn
Indicates that an entity moved to and settled in a new country or region on a specific date.
-
E.
emigratedWith
Indicates that one entity moved from their country or place of origin to settle in another location together with the other 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_69f224a1570c8190a85d3ac330479a79 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6897c9b2881909521988f496bdf95 |
completed | May 2, 2026, 11:32 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:24 p.m.