Triple
T25871947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian |
E651780
|
entity |
| Predicate | citizenshipLawOf |
P49424
|
FINISHED |
| Object | Italy |
—
|
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: Italy | Statement: [Italian, citizenshipLawOf, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citizenshipLawOf Context triple: [Italian, citizenshipLawOf, Italy]
-
A.
nationalityLawOf
chosen
Indicates that one entity is the body of law or legal framework that defines or governs the nationality or citizenship status associated with another entity.
-
B.
hasCitizenshipLawJurisdiction
Indicates that a specified jurisdiction holds legal authority over the creation, interpretation, or enforcement of citizenship laws for certain persons or entities.
-
C.
nationalityLawBasedOn
Indicates that one nationality law is derived from, modeled on, or significantly influenced by another legal system or framework.
-
D.
definedCitizenship
Indicates that a formal citizenship status has been legally established or specified for an entity.
-
E.
isCitizenOf
Indicates that a person holds legal nationality or citizenship status in a particular country or state.
- 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_69e7ab3ad9d88190841ddcb93ab02e96 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f602dd86dc8190b36335017d158398 |
completed | May 2, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 22, 2026, 8:11 a.m.