Triple
T25945559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutchbat |
E653829
|
entity |
| Predicate | airSupportOutcome |
P6269
|
FINISHED |
| Object | insufficient and delayed air strikes |
—
|
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: insufficient and delayed air strikes | Statement: [Dutchbat, airSupportOutcome, insufficient and delayed air strikes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airSupportOutcome Context triple: [Dutchbat, airSupportOutcome, insufficient and delayed air strikes]
-
A.
airSupport
chosen
Indicates that one entity provides aerial assistance or backing to another, typically through aircraft-based protection, transport, or attack.
-
B.
airSupportPlannedFrom
Indicates that air support operations are scheduled or intended to be provided starting from a specified source or location.
-
C.
airLegType
Indicates the specific type or category of an air travel segment within an itinerary (e.g., flight leg classification or role).
-
D.
airService
Indicates that an air transportation service (such as flights or air routes) is provided or operates between the related entities.
-
E.
airServiceType
Indicates the specific category or nature of an air transportation service provided or used in the relationship.
- 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_69e7ab40ac788190a771bc499eb1ae5f |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f60464d4988190bc39b78c8e418547 |
completed | May 2, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:43 a.m.