Triple
T14480084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Base No. 5 Monte Real |
E359077
|
entity |
| Predicate | roleInNATO |
P114356
|
FINISHED |
| Object | supporting NATO air defense missions |
—
|
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: supporting NATO air defense missions | Statement: [Air Base No. 5 Monte Real, roleInNATO, supporting NATO air defense missions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInNATO Context triple: [Air Base No. 5 Monte Real, roleInNATO, supporting NATO air defense missions]
-
A.
NATOcode
Indicates that there is a specified NATO (North Atlantic Treaty Organization) code assigned to or associated with an entity.
-
B.
NATOname
Indicates that an entity has a specific official name as recognized or used by NATO.
-
C.
NATOCategory
Indicates that an entity is classified according to a specific NATO-defined category or designation.
-
D.
isNATOAllyOf
Indicates that one entity is a member of NATO and has a formal alliance relationship with the other entity within the NATO framework.
-
E.
hasParticipatingNATOAllies
Indicates that an entity is involved in an activity, operation, or arrangement together with one or more NATO member states as allies.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924a576c819098351efabdb779b1 |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:20 a.m.