Triple
T34989447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vault City |
E1009339
|
entity |
| Predicate | citizenshipPolicy |
P84970
|
FINISHED |
| Object | strict citizenship laws |
—
|
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: strict citizenship laws | Statement: [Vault City, citizenshipPolicy, strict citizenship laws]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citizenshipPolicy Context triple: [Vault City, citizenshipPolicy, strict citizenship laws]
-
A.
leaderCitizenship
Indicates that a leader holds citizenship in, or is a national of, a particular country or political entity.
-
B.
citizenshipContext
Indicates the legal or social circumstances under which an entity holds or is granted citizenship in a particular state or jurisdiction.
-
C.
nationalityPolicy
chosen
Indicates the policy or rules a state or organization applies regarding the national affiliation or citizenship status of individuals.
-
D.
citizenshipIssue
Indicates that there is a problem, dispute, or complication concerning an entity’s citizenship status or rights.
-
E.
citizenshipCommon
Indicates that the related entities share the same citizenship or nationality.
- 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_69f76dca50dc8190b71f39defe186be8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.