Triple
T14255219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States – Tax Treatment for “Foreign Sales Corporations” |
E353366
|
entity |
| Predicate | partyTypeOfRespondent |
P113446
|
FINISHED |
| Object | sovereign state |
—
|
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: sovereign state | Statement: [United States – Tax Treatment for “Foreign Sales Corporations”, partyTypeOfRespondent, sovereign state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partyTypeOfRespondent Context triple: [United States – Tax Treatment for “Foreign Sales Corporations”, partyTypeOfRespondent, sovereign state]
-
A.
namedPartyType
Indicates the specific role or category that a referenced party holds within a given context or relationship.
-
B.
partyTypePlaintiffs
Indicates the classification or category of the parties serving as plaintiffs in a legal action.
-
C.
partyTypePetitioners
Indicates that the associated parties in a legal case are classified as petitioners.
-
D.
participantType
Indicates the specific role or category that a participant has within a given event, activity, or relationship.
-
E.
personType
Indicates that an entity is classified as a particular type or category of person.
- F. None of above. chosen
Provenance (4 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62992a188190bc046fbab5a149d6 |
completed | April 14, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69de2a7d586c8190846ff242bbf5ac53 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:09 a.m.