Triple
T2444746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISL |
E53363
|
entity |
| Predicate | notAssignedTo |
P12860
|
FINISHED |
| Object | any other country |
—
|
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: any other country | Statement: [ISL, notAssignedTo, any other country]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notAssignedTo Context triple: [ISL, notAssignedTo, any other country]
-
A.
assignedTo
Indicates that responsibility for a task, item, or role has been designated to a specific entity.
-
B.
assignedUnder
Indicates that one entity has been given responsibility, duty, or authority to act within the scope, supervision, or framework defined by another entity.
-
C.
canBeAssignedTo
Indicates that one entity is eligible or permitted to be allocated, designated, or linked to another entity for a particular purpose or role.
-
D.
notClassifiedAs
chosen
Indicates that an entity is explicitly not assigned to, or excluded from, a particular class or category.
-
E.
assignedInStandard
Indicates that something is allocated or designated within a defined standard, specification, or normative framework.
- 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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcabf477081908512df63ac1a6414 |
completed | March 7, 2026, 6:50 a.m. |
| PD | Predicate disambiguation | batch_69abc5ad8e588190b97c4cd7cf575043 |
completed | March 7, 2026, 6:29 a.m. |
Created at: March 6, 2026, 9:43 p.m.