Triple
T8908029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kharkiv International Airport |
E212109
|
entity |
| Predicate | isInCountryUnderFullScaleInvasionSince |
P86311
|
FINISHED |
| Object | Russian invasion of Ukraine (since 2022) |
—
|
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: Russian invasion of Ukraine (since 2022) | Statement: [Kharkiv International Airport, isInCountryUnderFullScaleInvasionSince, Russian invasion of Ukraine (since 2022)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInCountryUnderFullScaleInvasionSince Context triple: [Kharkiv International Airport, isInCountryUnderFullScaleInvasionSince, Russian invasion of Ukraine (since 2022)]
-
A.
wasInvadedBy
Indicates that a place or territory was subjected to an incursion or attack carried out by another entity or group.
-
B.
warDeclaredOn
Indicates that one entity has formally initiated a state of war against another entity.
-
C.
countryAtWarWith
Indicates that two countries are engaged in an active state of war or armed conflict with each other.
-
D.
hasMilitaryPresence
Indicates that a military force is present in, stationed at, or operating within a particular location or entity.
-
E.
wasMilitarizedDuring
Indicates that an entity transitioned to or adopted a military character, role, or control during a specified time period or event.
- 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_69ca839255248190b43984294abd92ae |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc64c6a87c81909331a39619f913c0 |
completed | April 1, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69cc5ecf55248190a29f00fbf99f13c4 |
completed | March 31, 2026, 11:54 p.m. |
| PDg | Predicate description generation | batch_69cc604965c48190bbb6db0ae8108e67 |
completed | April 1, 2026, 12:01 a.m. |
Created at: March 30, 2026, 6:55 p.m.