Triple
T19997521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonquel Jones |
E494232
|
entity |
| Predicate | nationalityChange |
P121227
|
FINISHED |
| Object | naturalized citizen of Bosnia and Herzegovina |
—
|
LITERAL FINISHED |
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: naturalized citizen of Bosnia and Herzegovina | Statement: [Jonquel Jones, nationalityChange, naturalized citizen of Bosnia and Herzegovina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityChange Context triple: [Jonquel Jones, nationalityChange, naturalized citizen of Bosnia and Herzegovina]
-
A.
citizenshipChangeReason
Indicates the reason or cause for a change in an entity’s citizenship status.
-
B.
hasCitizenshipChange
chosen
Indicates a change in an entity’s citizenship status from one country or jurisdiction to another.
-
C.
nationalityPolicy
Indicates the policy or rules a state or organization applies regarding the national affiliation or citizenship status of individuals.
-
D.
formerCitizenship
Indicates that an entity previously held, but no longer holds, citizenship in a specified country or state.
-
E.
nationalityAfterEmigration
Indicates the nationality a person acquires or holds after emigrating from their original 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe6827481909469129feb9aad91 |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:32 p.m.