Triple
T130626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mileva Marić |
E2645
|
entity |
| Predicate | acquiredCitizenship |
P2
|
FINISHED |
| Object | Swiss citizenship |
—
|
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: Swiss citizenship | Statement: [Mileva Marić, acquiredCitizenship, Swiss citizenship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquiredCitizenship Context triple: [Mileva Marić, acquiredCitizenship, Swiss citizenship]
-
A.
acquireCitizenshipBy
Indicates the process or means by which an entity obtains or is granted citizenship through a specific method, action, or legal basis.
-
B.
countryOfCitizenship
chosen
Indicates the country in which a person or entity holds legal citizenship.
-
C.
namedAfterCountryOfCitizenship
Indicates that something is named after the country where a person holds citizenship.
-
D.
mayLoseCitizenshipBy
Indicates that an entity is at risk of losing its citizenship as a consequence of a specified condition, action, or circumstance.
-
E.
immigratedTo
Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257845c548190bfb49409988d1c57 |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a2564da96c8190aa8204de25229c15 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.