Triple
T35874129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AFNORTH |
E1037312
|
entity |
| Predicate | memberNationForcesIncluded |
P39448
|
FINISHED |
| Object | Norway |
—
|
NE NERFINISHED |
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: Norway | Statement: [AFNORTH, memberNationForcesIncluded, Norway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberNationForcesIncluded Context triple: [AFNORTH, memberNationForcesIncluded, Norway]
-
A.
armedForcesInvolved
chosen
Indicates that the relationship or event involves the participation or presence of military or armed forces.
-
B.
countryOfUSForces
Indicates that a given country is the nation in which United States military forces are present or operating.
-
C.
hasArmedForces
Indicates that an entity possesses or maintains organized military forces under its control.
-
D.
isUnifiedMilitaryOf
Indicates that an entity serves as the single, consolidated military force representing or defending another entity (such as a state, alliance, or organization).
-
E.
stateOfForces
Indicates the condition, disposition, or readiness level of military or organizational forces at a given time.
- 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_69f76e1e701c8190a4990d4978ce4fe6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
Created at: May 3, 2026, 4:06 p.m.