Triple
T33005451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clementina Walkinshaw |
E844486
|
entity |
| Predicate | citizenshipAtBirth |
P175902
|
FINISHED |
| Object | Kingdom of Great Britain |
—
|
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: Kingdom of Great Britain | Statement: [Clementina Walkinshaw, citizenshipAtBirth, Kingdom of Great Britain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citizenshipAtBirth Context triple: [Clementina Walkinshaw, citizenshipAtBirth, Kingdom of Great Britain]
-
A.
place of citizenship
Indicates the country or sovereign state in which a person holds legal citizenship.
-
B.
countryOfCitizenship
Indicates the country in which a person or entity holds legal citizenship.
-
C.
citizenshipBasedOn
Indicates that an entity’s citizenship is determined or derived from another specified factor, condition, or relationship.
-
D.
cityOfCitizenship
Indicates the city in which a person holds legal citizenship or official civic affiliation.
-
E.
countryOfNaturalization
Indicates that an entity became a citizen of the specified country through the legal process of naturalization.
- F. None of above. chosen
Provenance (4 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_69f3494e59f08190b9127c693e5c7e8f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:23 a.m.