Triple
T30704511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archie Mountbatten-Windsor |
E781713
|
entity |
| Predicate | nationalityStatusAtBirth |
P175902
|
FINISHED |
| Object | British citizen by descent |
—
|
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: British citizen by descent | Statement: [Archie Mountbatten-Windsor, nationalityStatusAtBirth, British citizen by descent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityStatusAtBirth Context triple: [Archie Mountbatten-Windsor, nationalityStatusAtBirth, British citizen by descent]
-
A.
citizenshipAtBirth
chosen
Indicates that an entity acquired citizenship of a country automatically at the moment of birth.
-
B.
countryOfNaturalization
Indicates that an entity became a citizen of the specified country through the legal process of naturalization.
-
C.
stateOfCitizenship
Indicates the legal nationality or country to which a person formally belongs as a citizen.
-
D.
countryOfCitizenship
Indicates the country in which a person or entity holds legal citizenship.
-
E.
place of citizenship
Indicates the country or sovereign state in which a person holds legal citizenship.
- 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_69f224abfcf081909492e64d3cc35262 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: April 29, 2026, 8:35 p.m.