Triple
T6657803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States amateur players |
E151391
|
entity |
| Predicate | citizenshipOrResidencyBasis |
P4308
|
FINISHED |
| Object | subject to domestic draft rules |
—
|
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: subject to domestic draft rules | Statement: [United States amateur players, citizenshipOrResidencyBasis, subject to domestic draft rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citizenshipOrResidencyBasis Context triple: [United States amateur players, citizenshipOrResidencyBasis, subject to domestic draft rules]
-
A.
citizenshipType
Indicates the specific legal category or status of an individual's citizenship in relation to a state or country.
-
B.
definedCitizenship
Indicates that a formal citizenship status has been legally established or specified for an entity.
-
C.
hasTypicalCitizenship
Indicates that an entity is generally or commonly a citizen of a specified country or jurisdiction.
-
D.
countryOfCitizenship
Indicates the country in which a person or entity holds legal citizenship.
-
E.
acquireCitizenshipBy
chosen
Indicates the process or means by which an entity obtains or is granted citizenship through a specific method, action, or legal basis.
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9d53848190ac75523c157249c6 |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad071b0081909b96dd4b93414bd1 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:01 p.m.