Triple
T25563198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NATO |
E640768
|
entity |
| Predicate | hasPostColdWarRole |
P167052
|
FINISHED |
| Object | crisis management |
—
|
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: crisis management | Statement: [NATO, hasPostColdWarRole, crisis management]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPostColdWarRole Context triple: [NATO, hasPostColdWarRole, crisis management]
-
A.
roleDuringColdWar
Indicates the specific position, function, or involvement an entity had in the context of the Cold War period.
-
B.
preWarRole
Indicates the role, position, or function an entity held before the onset of a specified war or conflict.
-
C.
roleInTimeWar
Indicates that an entity held a specific role or function during the period or events referred to as the Time War.
-
D.
isWartimeCounterpartOf
Indicates that one entity serves as the equivalent or corresponding version of another entity specifically in a wartime context.
-
E.
hasHistoricalRoleAs
Indicates that an entity has served in a specific historical capacity, function, or position during a particular period or context.
- 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_69e75dc1beb08190bac7d76b8d6e7bc4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6653ccf648190b65fb1141928e47e |
completed | May 2, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f663ff176c8190aaadb475f75daee4 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 21, 2026, 3:47 p.m.