Triple
T29627975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | love-in-idleness |
E755195
|
entity |
| Predicate | isNaturalizedIn |
P66634
|
FINISHED |
| Object | North America |
—
|
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: North America | Statement: [love-in-idleness, isNaturalizedIn, North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNaturalizedIn Context triple: [love-in-idleness, isNaturalizedIn, North America]
-
A.
canNaturalizeIn
Indicates that an entity is legally eligible to obtain citizenship or equivalent formal status in a specified country or jurisdiction.
-
B.
countryOfNaturalization
chosen
Indicates that an entity became a citizen of the specified country through the legal process of naturalization.
-
C.
isCitizenOf
Indicates that a person holds legal nationality or citizenship status in a particular country or state.
-
D.
stateOfCitizenship
Indicates the legal nationality or country to which a person formally belongs as a citizen.
-
E.
laterCitizenship
Indicates that an entity acquired citizenship in a country or polity at a later point in time, after some earlier status or affiliation.
- 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_69f0ef86b6ec8190a87fff07fd983b1e |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66e61866881908f1497a7ceb782bc |
completed | May 2, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 6:39 p.m.