Triple
T4229880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ève Curie |
E94552
|
entity |
| Predicate | citizenshipAcquiredDate |
P11301
|
FINISHED |
| Object | 1958 |
—
|
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: 1958 | Statement: [Ève Curie, citizenshipAcquiredDate, 1958]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citizenshipAcquiredDate Context triple: [Ève Curie, citizenshipAcquiredDate, 1958]
-
A.
citizenshipGrantedYear
chosen
Indicates the specific year in which an entity was officially granted citizenship.
-
B.
dateOfCitizenshipChange
Indicates the date on which an entity’s citizenship status was changed from one nationality to another.
-
C.
citizenshipDuringLifetime
Indicates that an entity held citizenship in a particular country or political unit at some point during its lifetime.
-
D.
countryOfCitizenship
Indicates the country in which a person or entity holds legal citizenship.
-
E.
laterCitizenship
Indicates that an entity acquired citizenship in a country or polity at a later point in time, after some earlier status or affiliation.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e61ccc081909b880baf1d6a0f24 |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f3bd188190b0cd613e8a5c1683 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.