Triple
T10117793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Šiauliai Air Base |
E223205
|
entity |
| Predicate | usedByDuringPeacetime |
P92291
|
FINISHED |
| Object | rotational NATO air contingents |
—
|
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: rotational NATO air contingents | Statement: [Šiauliai Air Base, usedByDuringPeacetime, rotational NATO air contingents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByDuringPeacetime Context triple: [Šiauliai Air Base, usedByDuringPeacetime, rotational NATO air contingents]
-
A.
peacetimeEquivalent
Indicates that one quantity, condition, or status corresponds to the equivalent value or state that would apply under peacetime (non-conflict) conditions.
-
B.
wartimeUse
Indicates that something is used or employed during a period of war or armed conflict.
-
C.
peacetimeOperation
Indicates that an entity is engaged in activities or functions carried out under normal, non-wartime conditions.
-
D.
builtDuringConflict
Indicates that the construction of one entity occurred while a specified conflict or war was taking place.
-
E.
supportedDuringWar
Indicates that one entity provided assistance, resources, or backing to another entity specifically during a time of war.
- 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_69ca8422047c81909d66b717b8b18cf3 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd26317948190901197adbac01ed3 |
completed | April 2, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69cd4b9ed7e48190aa132ef8a69b49f9 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8f869c8190a82ad040993e0244 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 9:04 p.m.