Triple
T710260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Under Secretary of the Navy |
E14189
|
entity |
| Predicate | officeHoldersMustMeet |
P2718
|
FINISHED |
| Object | U.S. citizenship requirement |
—
|
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. citizenship requirement | Statement: [Under Secretary of the Navy, officeHoldersMustMeet, U.S. citizenship requirement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHoldersMustMeet Context triple: [Under Secretary of the Navy, officeHoldersMustMeet, U.S. citizenship requirement]
-
A.
officeHoldersMustBe
chosen
Indicates that individuals who hold a particular office are required to possess a specified status, qualification, or characteristic.
-
B.
officeHoldersMustNot
Indicates that certain individuals are prohibited from holding specified offices or positions.
-
C.
memberHoldsOffice
Indicates that a member occupies or serves in a specific official position or office within an organization or governing body.
-
D.
officeHolderMayBe
Indicates that a specified person is permitted or eligible to hold a particular office or position.
-
E.
eligibleForOffice
Indicates that an entity meets the necessary requirements or qualifications to hold a particular office or position.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5c011948190b2cfccd8fe722742 |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f0217081908268b3f47e72f8df |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.