Triple
T9894957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Minor women’s suffrage case |
E181546
|
entity |
| Predicate | plaintiffCitizenshipStatus |
P50609
|
FINISHED |
| Object | U.S. citizen |
—
|
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: U.S. citizen | Statement: [Virginia Minor women’s suffrage case, plaintiffCitizenshipStatus, U.S. citizen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plaintiffCitizenshipStatus Context triple: [Virginia Minor women’s suffrage case, plaintiffCitizenshipStatus, U.S. citizen]
-
A.
definedCitizenship
Indicates that a formal citizenship status has been legally established or specified for an entity.
-
B.
citizenshipType
chosen
Indicates the specific legal category or status of an individual's citizenship in relation to a state or country.
-
C.
appliesToCitizenshipStatus
Indicates that something (such as a rule, benefit, restriction, or condition) is relevant to or governs individuals based on their citizenship status.
-
D.
citizenshipStatusVariesByTerritory
Indicates that the rules or conditions of citizenship differ depending on the specific territory or jurisdiction involved.
-
E.
dualCitizenshipStatus
Indicates that an entity holds legal citizenship in two different countries simultaneously.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4a89e148190901753e67483d72c |
completed | April 2, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69cd1d872d50819096b7ab166a8decf1 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:39 p.m.